🎙️ Ep. 139, From MyCase to Claude: Building a Secure, AI-Ready Tech Stack for Solo and Small Law Firms.

/ The Tech-Savvy Lawyer.Page/

My next guests are Gabriella "Gabby" Cabero, Senior Vice President of Product at 8am — the powerhouse behind MyCase, LawPay, CASEpeer, and DocketWise — and Majo Castro, founder and managing attorney at CastroMand Legal in Austin, Texas. 🌟 Gabby is a 16-year legal tech veteran who co-founded CASEpeer and now drives product strategy across one of the most widely adopted law practice management platforms in the country. Majo is a Venezuelan-born cybersecurity and AI attorney whose solo firm helps growing companies navigate AI implementation, data management, and cybersecurity — and she writes about all of it on her Substack, The Cyber Law Gal. 🛡️ This is a no-fluff, peer-to-peer conversation about the exact workflows that separate a modern LPM from a liability, why the Data Processing Agreement is the most important acronym in your practice right now, and what your employees are almost certainly already doing with AI — whether you've approved it or not.

Join Gabriella Cabero, Majo Castro, and me as we discuss the following three questions and more!

  1. What are the top three integrations or workflows a solo, small, or midsize firm should expect from a modern cloud-based LPM platform like 8am — and what's missing that signals a real red flag around efficiency, cash flow, or security?

  2. As AI gets baked into cloud LPM tools like 8am, what are the top three day-to-day tasks that will change most for solo and small firm lawyers — and what basic security or ethical guardrails should they put in place to use those AI features without putting client data at risk?

  3. For solo and small firms without a CISO or CTO, what are the top three cybersecurity mistakes you see over and over again?

In our conversation, we cover the following:

  • [00:00:00] 🪝 Show Hook — Gabby's critical warning: if your firm hasn't "adopted" AI, your employees probably already have — on free consumer tools

  • [00:00:00] Title read — Episode 139

  • [00:01:00] Host intro: why this conversation goes tactical on AI, security, and LPM workflows

  • [00:02:00] Guest introductions — Gabriella Cabero (8am/MyCase) and Majo Castro (CastroMand Legal / The Cyber Law Gal)

  • [00:03:00] Majo celebrates 1.5 years as a solo practitioner 🎉

  • [00:03:00] Ad: Five-star review request for The Tech-Savvy Lawyer.Page

  • [00:03:30] Tech setups — Gabby's MacBook Air (M4 chip), iPhone Max, Slack, Zoom, Google Drive, Claude Enterprise

  • [00:06:00] Gabby's portable USB-C external monitor for travel (Amazon, highest-rated)

  • [00:09:00] Majo's MacBook Pro 14" M4 (16GB RAM), performance issues, upgrade path discussion

  • [00:10:00] Michael recommends Onyx (free Mac maintenance utility); Michael's Mac Studio M3 Ultra with 256GB

  • [00:11:00] Mac Mini and Mac Studio as desktop alternatives; MacRumors Buyer's Guide tip

  • [00:13:00] Apple Business Account benefits — small discounts + white-glove service

  • [00:15:00] Majo's full setup: iPhone 16 Pro Max, Google Workspace + Gemini (team account with DPA), DJI Osmo Pocket 3, Hollyland wireless mic

  • [00:16:00] Q1: Top three LPM workflows — intake, secure client communication (client portal), and getting paid (trust accounting + automated invoicing)

  • [00:19:00] Majo on switching from QuickBooks to MyCase after discovering QuickBooks mishandles trust accounting

  • [00:20:00] 🎉 Gabby announces: AI case summary features are now LIVE in 8am/MyCase

  • [00:21:00] Cloud vs. local access debate — SaaS uptime, SLAs, and asking vendors for proof

  • [00:23:00] Michael's redundant backup strategy: Backblaze + Dropbox + local Mac Mini

  • [00:25:00] Cautionary tale: ransomware attack converts a server-based firm to the cloud overnight

  • [00:28:00] Majo's Google Drive third-party backup with 2-hour recovery window

  • [00:29:00] Q2: How AI changes daily workflows — drafting, case summaries, surfacing critical info fast

  • [00:30:00] Why reading vendor Terms of Service and activating Data Processing Agreements (DPAs) is non-negotiable

  • [00:31:00] 8am's SOC 2 Type 2 compliance; updated AI terms and opt-in controls coming

  • [00:32:00] SOC 2, HIPAA, end-to-end encryption as baseline vendor security requirements

  • [00:34:00] AI as the great equalizer — leveling the playing field for solo firms vs. BigLaw

  • [00:35:00] Majo's real data: ~12 hours saved last month across 27 consultations using Gemini for proposals

  • [00:36:00] Plaud and Pocket AI recording devices — data retention, PII, and DPA concerns

  • [00:37:00] Majo's stance on wearable AI recorders; Apple Watch comparison; one-party vs. two-party consent

  • [00:39:00] Plaud's terms say no AI training — but it's not a DPA; terms can change without notice 🚨

  • [00:40:00] Google Workspace DPA must be manually activated — most users don't know; creating user friction around protection

  • [00:41:00] Q3: Top cybersecurity mistakes — shadow AI, no MFA, undertrained employees

  • [00:42:00] Majo's checklist: DPA + no model training on client data + enterprise/team-tier subscriptions + MFA

  • [00:43:00] Gabby: employees are the #1 security risk; fractional IT and CISO options for small firms

  • [00:44:00] AI-powered phishing attacks on law firms will only intensify

  • [00:45:00] Majo's training method: positive AI policies + 45-second staff video explainers 🎬

  • [00:46:00] 🚨 Gabby's shadow AI reminder (Show Hook callback): audit your tech stack — your team already has

  • [00:47:00] Episode originally recorded at ABA Techshow; re-recorded after a technical snafu 😅

  • [00:47:00] Where to find Gabby: LinkedIn, X, 8am.com, Kaleidoscope conference (September — banner at 8am.com)

  • [00:48:00] Where to find Majo: LinkedIn (Majo Castro), CastroMand Legal, Substack: The Cyber Law Gal

  • [00:48:30] Outro — michaeldj@thetechsavvylawyer.page | next episode in ~two weeks

RESOURCES

Connect with Gabriella "Gabby" Cabero

Connect with Majo Castro

Mentioned in the Episode

Hardware Mentioned

MTC: Why Rising PC and AI Tool Prices (for Windows and Apple) Should Be on Every Lawyer’s Radar in 2026

/ The Tech-Savvy Lawyer.Page/

Law firms need to plan Windows, Mac, and AI refresh strategy

If you feel like every new laptop quote is 15–20% higher than last year, you are not imagining things. 📈 And if your favorite AI drafting or transcript tool pinged you with a “small” price adjustment this spring, welcome to the club. 🤖

In our December 2025 editorial, “MTC: The 2026 Hardware Hike: Why Law Firms Must Budget for the ‘AI Squeeze’ Now!”, we warned that a perfect storm in the hardware market was forming: DRAM shortages, surging AI infrastructure demand, and shifting trade policy were about to push PC prices up by 15–20% in 2026. 💻 Then, in April 2026’s “MTC: Why 2026’s PC Price Hikes Put Law Firms at Risk (and Why Many Lawyers Are Quietly Switching to Macs)”, we explored how rising Windows laptop prices were reshaping law firm hardware decisions and eroding the old assumption that “Windows is always cheaper than Mac.”

Those forecasts are now reality across both Windows PCs and Macs, and the question I keep hearing from solo and small firm lawyers is simple: Should I be worried?

The short answer is yes—concerned, not paralyzed. The better question is: how do we respond strategically, in a way that respects both our budgets and our ethical obligations under ABA Model Rules 1.1 (Competence) and 1.6 (Confidentiality)?

A quick recap: what’s driving the price surge?

Let’s start with the “why,” because context matters when you sit down with your next-year budget spreadsheet. 📊

Industry analysts now confirm that average PC prices are rising in the 15–20% range for 2026, with memory costs as the biggest driver. AI data centers—those massive server farms powering tools like ChatGPT and other LLMs—are soaking up an estimated majority of advanced DRAM production, leaving less capacity for business laptops and desktops of all flavors, whether they run Windows or macOS. When memory becomes scarce and expensive, everything that relies on it gets pricier.

You can see this in both ecosystems:

Lawyers need t plan their 2026 law firm hardware budget amid rising costs

  • Windows side: In April, Microsoft sharply raised prices across its Surface lineup, including the Surface Pro and Surface Laptop families, many lawyers rely on. Entry-level machines that once started under 1,000 dollars now begin well above that mark, with some configurations jumping several hundred dollars over launch prices and in some cases exceeding roughly comparable MacBook configurations.

  • Apple side: In June, Apple CEO Tim Cook told The Wall Street Journal that Apple will raise prices because the company can no longer absorb skyrocketing memory and storage costs, calling the situation a “hundred-year flood” and saying he has “never seen anything like it in any area in over 40 years,” describing these increases as “unavoidable.” Apple to Raise Prices Due to Memory Chip Crunch, Tim Cook Says.

When both Microsoft and Apple are telling you that memory costs and component shortages are forcing them to push prices up, that is not a platform rivalry story. It is a signal that the entire hardware market—Windows and Mac alike—is being repriced around the AI era.

On top of that, trade policy and tariffs have increased costs for components and final assembly in key manufacturing hubs like China and Taiwan. Vendors have responded by tightening quote windows and baking in risk premiums, which is why the Windows laptop or Mac you priced in Q4 2025 quietly jumped in Q2 2026. 💸

In “MTC: The 2026 Hardware Hike”, we urged firms to accelerate planned refreshes where possible, prioritize RAM over storage, and budget for stronger machines instead of downgrading specs. In the April 2026 editorial, we drilled into how those same forces made some Mac configurations look surprisingly competitive—and why lawyers should stop treating “Windows versus Mac” as a matter of habit and start treating it as a structured evaluation tied to performance, security, and ethical duties. All of that guidance still holds.

Budgeting like a law practice, not a gadget hobby (PC‑neutral framing)

The theme of “MTC: The 2026 Hardware Hike” was simple: treat your tech like a planned, recurring investment—not a last-minute scramble when a laptop dies in the middle of trial prep. The April 2026 follow-up on PC price hikes showed how that planning must now account for both Windows and Mac options, since price gaps have narrowed or flipped depending on configuration.

Here is the approach I recommend for solos and small firms, regardless of platform:

  1. Inventory and classify your devices across platforms.
    Capture which users are on Windows, which are on macOS, and what roles those machines play. Prioritize devices used for active litigation, client communications, and high-sensitivity matters.

  2. Set a realistic refresh cycle that is OS‑aware.
    For most law practices, a 3–5 year cycle for primary laptops and desktops is reasonable, but the exact timing should reflect each platform’s support timeline—Windows 10 reaching end of support, macOS versions aging out, and vendor firmware commitments.

  3. Budget for “competence grade” hardware on both sides.
    As we argued in both the December and April MTC pieces, it is better to buy fewer, well‑specced machines—whether that is a mid-range Surface Laptop or a MacBook Air with sufficient RAM—than to chase the absolute lowest price and end up with systems that choke under AI‑enhanced workflows.

  4. Run a structured Windows vs. Mac evaluation, not a loyalty contest.
    Following the April article’s recommendation, build a simple matrix comparing specific Windows and Mac models on price, RAM, storage, performance, security features (like Secure Boot, Secure Enclave, or TPM), support life, and compatibility with your core practice software. Tie that matrix explicitly to your responsibilities under ABA Model Rules 1.1 and 1.6 so you can show you exercised reasonable diligence.

  5. Cull redundant subscriptions before sacrificing baseline hardware on either platform.
    Before you decide that “Macs are too expensive now” or “Windows machines are out of reach,” examine your monthly AI and SaaS spend. Many firms can free up budget for better Windows or Mac hardware by retiring overlapping tools that deliver marginal benefits.

This is not about declaring a winner in the Windows vs. Mac debate. It is about recognizing that both ecosystems are affected by the same structural forces—AI‑driven memory demand, supply constraints, tariffs—and that your ethical obligations apply regardless of logo. ⚖️

So, should lawyers be worried? (PC‑neutral conclusion)

Concern is justified. Panic is not. 😅

Law firmS of every size need to plan Windows, Mac, and AI refresh strategy

Yes, Windows PC and Mac prices are rising and are likely to remain elevated through at least 2027, given ongoing DRAM constraints and AI demand. Yes, AI and cloud tools are adjusting their pricing and tiers in ways that can catch an unprepared firm off guard. And yes, when Microsoft raises Surface prices, and Tim Cook says he has never seen a memory crunch like this in over 40 years and calls it a “hundred-year flood,” those are market‑wide signals—not platform‑centric marketing talking points.

But you still have levers to pull, no matter which platform you use:

  • Plan your hardware lifecycle instead of reacting to failures.

  • Prioritize “competence grade” devices and security over optional features, whether that is a mid‑range Windows laptop or a MacBook with enough RAM.

  • Rationalize your AI and SaaS stack so you pay for what actually moves the needle.

  • Treat your tech stack as part of your ethics compliance, not just overhead. ⚖️

Lawyers on both Windows and Mac should treat 2026’s hardware and AI price hikes as a market‑wide issue that affects competence, confidentiality, and client service—not as a referendum on one platform. 💻⚖️

MTC

How (To) Lawyers Can Write Better AI Prompts (In Minutes) with PromptCowboy 🤠

/ The Tech-Savvy Lawyer.Page/

today’s Lawyer need to master AI prompts in a modern tech-savvy law office 📚🤖

Large language models (LLMs) are not magic wands. They are very fast, very convincing parrots. When you ask sloppy questions, you get sloppy answers. When you ask clear, structured questions, you start to see real value in your law practice.

That’s why prompt quality is now a lawyering skill, not a party trick—and tools like PromptCowboy can help you build that skill quickly and safely.

In earlier Tech-Savvy Lawyer posts like “🎙️ TSL Lab’s Deep Dive into Our May 18, 2027, editorial, “AI Won’t Replace Solo and Small Firm Lawyers. It Will Supercharge Them”!” and podcast episodes discussing AI workflows, I’ve stressed the same core message: you cannot delegate your professional judgment to an LLM. You can, however, use an LLM to accelerate competent lawyering—if you stay in control of the instructions you give it and the outputs you accept.

Why prompt quality is an ethics issue 💼

The ABA’s technology competence mandate under Model Rule 1.1 now clearly extends to understanding the risks and benefits of generative AI tools. ABA Formal Opinion 512 emphasizes that lawyers may use generative AI to deliver faster and more efficient legal services, but only if they maintain independent professional judgment, supervise results, and comply with duties of confidentiality, candor, and reasonable fees.

That means “prompt engineering” is not a hobby; it’s part of staying reasonably informed about relevant technology and using it responsibly. When you use a tool like PromptCowboy to structure your prompts, you are not outsourcing judgment—you are standardizing how you exercise it.

What PromptCowboy actually does for lawyers 🤠⚖️

PromptCowboy is a guided prompt generator. You type in a rough idea (“help me sanity-check a demand letter” or “summarize this deposition transcript for trial prep”), and it walks you through targeted questions that transform that rough idea into a structured, reusable prompt.

For lawyers, three capabilities matter most:

  • It enforces structure: role, task, context, constraints, and output format.

  • It preserves prompts: you can reuse, tweak, and standardize prompts across matters and teams.

  • It supports multiple LLMs: you can paste the same prompt into your preferred tools (e.g., a legal-specific AI plus a general LLM).

If you’ve ever stared at a blank chat box and thought, “I don’t even know how to ask this,” PromptCowboy is the bridge between your legal brain and the AI chat window.

Why not just type directly into the LLM? 🤔

If you’re comfortable drafting a tight brief from a messy client email, you can learn to write good prompts directly in ChatGPT, Claude, or your preferred tool. The question is not “Can I?”—it’s “Is that the best use of my time and attention?”

PromptCowboy sits between your legal brain and the AI chat box and gives you three advantages that are hard to get from freehand prompting alone.

1. It forces you into best practices by default

Most prompt-engineering guides tell you: be specific, define the role, give context, specify the audience, and tell the model what format you want. When you type straight into an LLM, you have to remember all of that and translate your legal problem into structured instructions.

PromptCowboy automates that discipline:

  • It asks targeted follow-up questions about audience, use case, and output format.

  • Its “improve your prompt” style features can take your “lazy prompt” and suggest refinements, like adding jurisdiction, tone, or specific constraints.

  • It then assembles a complete, structured prompt you can copy into your LLM.

From an ethics standpoint, this matters because better-structured prompts reduce the risk of vague, misleading, or overconfident AI outputs that you might otherwise overlook—helping you meet your competence duty under Model Rule 1.1 and the quality expectations outlined in ABA Formal Opinion 512.

2. It gives you reusable, auditable prompt “precedent”

When you type directly into a chat window, your “good prompts” disappear into the scroll unless you remember to save them elsewhere. Lawyers would never run a litigation practice without templates and prior forms, yet many start from scratch every time they open an AI tool.

PromptCowboy provides:

SOLO AND Small-firm attorneys CAN COMPETE WITH LARGER FIRMS BY CREATING POWERFUL AI prompt templates for clients ⚖️💬

  • Prompt history and private templates in its paid tiers, so you can reuse and iterate on prompts like you do with forms.

  • Centralized prompt management, so a firm can standardize prompts for common tasks (client email drafts, discovery checklists, status updates) and keep everyone using the same baseline instructions.

  • A clean separation between “prompt drafting” and “AI execution,” which makes it easier to document how you instructed the AI if you ever need to explain or audit your process.

That last point goes to Model Rules 5.1 and 5.3—supervision of lawyers and nonlawyer assistants—because LLMs function in practice like a highly automated, but still supervised, assistant. Having standard prompts you can review, update, and roll out to a team is much easier with a dedicated prompt tool than with a dozen scattered screenshots.

3. It speeds up the “iterate and improve” loop

Good prompting is iterative. You try, you see what the AI produces, you refine. That’s true whether you’re drafting in a word processor or prompting an LLM.

PromptCowboy accelerates that loop because:

  • It can generate an initial, detailed prompt from a very short description (“help me draft a discovery checklist for a Virginia PI case”).

  • It automatically suggests follow-up questions whose answers will sharpen the prompt, instead of making you guess what to change.

  • Once refined, you can save that prompt and reuse it as a starting point next time, instead of reinventing the wheel in the LLM chat.

The net effect is less cognitive load. You spend your time reviewing outputs and exercising legal judgment, not handcrafting prompts from scratch—which aligns with the efficiency and cost considerations in Model Rule 1.5 and the access-to-justice benefits emphasized in Formal Opinion 512.

When direct prompting is fine—and when PromptCowboy shines

To keep this honest: there are plenty of scenarios where you can safely type straight into your LLM, like one-off low-stakes tasks or conversational exploration.

PromptCowboy shines when you:

  • Want repeatable workflows (weekly client updates, discovery outlines, intake summaries).

  • Need team-wide standards for how AI should behave and respond.

  • Must document your process for internal policies, insurers, or regulators who may ask how you controlled AI outputs.

Think of typing directly in the LLM as scribbling notes on a legal pad in chambers; using PromptCowboy is more like drafting a form in your document system that the whole firm can rely on.

A simple framework: RICE + I (Role, Instructions, Context, Expectations + Inputs) 🧩

The RICE framework—Role, Instructions, Context, Expectations—is a practical way to structure prompts. Let’s add an explicit “I” for Inputs and walk through how PromptCowboy helps you implement it:

  1. Role – Who is the AI supposed to be?
    Example: “You are a legal writing coach familiar with U.S. civil procedure.”
    PromptCowboy prompts you to define this persona up front, narrowing the output.

  2. Instructions – What task should it perform?
    Example: “Identify ambiguities and tone issues in the following demand letter and suggest specific edits.”

  3. Context – What background does it need?
    Example: “Maryland state court personal injury case involving a rear-end collision, liability admitted, issue is damages only.”

  4. Expectations – How should it respond?
    Example: “Return a bullet-point list, no more than 10 bullets, written at a 10th-grade reading level.”

  5. Inputs – What materials can it see?
    Example: “You will receive the text of the demand letter below this prompt.”

PromptCowboy’s workflow essentially walks you through each of these steps, so you don’t have to remember them every time.

Step-by-step: Building a better legal prompt with PromptCowboy 🛠️

Solo practitionerS CAN craft ethical AI prompts with ABA-focused guidance 🧠📜

Let’s say you want an LLM to help you draft initial discovery requests in a straightforward personal injury case—without crossing ethical lines.

Step 1: Decide what you will do first
Under Model Rule 1.1 and Formal Opinion 512, you must understand the law and facts well enough to supervise any AI assistance. That means you:

  • Identify the jurisdiction and claims

  • Review your client’s key facts

  • Decide what categories of information you need

Only then should you move to the AI.

Step 2: Open PromptCowboy and describe your task in plain English
In PromptCowboy, start with a simple description:

“Help me generate draft interrogatories and requests for production for a rear-end auto collision case in Virginia state court, focusing on damages.”

Step 3: Answer PromptCowboy’s clarifying questions
PromptCowboy will ask for details like:

  • Target audience (you, another lawyer, or a client)

  • Preferred tone (formal, plain language, bullet-point)

  • Output format (numbered list, table, outline)

By answering these questions, you naturally fill in the RICE + I elements without overthinking the jargon.

Step 4: Add ethical guardrails into the prompt
This is where ABA Model Rules meet prompt engineering:

  • Model Rule 1.6 (confidentiality) and Formal Opinion 512 suggest you should avoid disclosing client-identifying information to public LLMs unless you have informed consent and appropriate safeguards.

  • So in the prompt, you write:
    “Do not invent case-specific facts. Use only the generic facts provided. Do not reference any real persons or entities.”

PromptCowboy can store that language so you reuse it in future prompts.

Step 5: Generate, copy, and paste into your chosen LLM
Once PromptCowboy assembles the prompt, you copy it into:

  • A general LLM (e.g., ChatGPT, Claude or Perplexity*) for plain-language drafting, or

  • Your firm’s legal AI platform for case-specific workflows.

Then you review the output like you would a first-year associate’s draft—carefully and critically.

Practical prompt examples you can reuse 🧾

Here are two PromptCowboy-friendly templates you can adapt:

Template 1: Research sanity-check (non-confidential)

“You are a legal research assistant familiar with [jurisdiction].
Task: Summarize the general legal standards for [issue] without citing specific cases.
Context: This is for high-level planning, not court submission.
Expectations: Provide a concise outline with headings and bullet points.
Ethics: Do not fabricate statutes or case names; flag any uncertainty for follow-up research.”

Template 2: Plain-language client explanation (with safeguards)

“You are a communication coach for lawyers.
Task: Rewrite the following explanation of [legal issue] so a layperson can understand it.
Context: This will be used as a draft for a client email.
Expectations: 3–5 short paragraphs, no legalese, no promises of outcomes.
Ethics: Do not add any new legal advice beyond what is given. Flag any unclear sections for attorney review.”

These templates align with Model Rules 1.1 (competence), 1.4 (communication), and 7.1 (avoiding misleading statements), while using PromptCowboy to enforce structure and consistency.

Common mistakes PromptCowboy helps you avoid 🙅‍♂️

PromptCowboy is not a substitute for judgment, but it does reduce some predictable errors lawyers make with LLMs:

  • Vague requests (“Write a brief” with no jurisdiction, facts, or audience)

  • No output format (you get a wall of text you can’t use)

  • Hidden assumptions (AI fills in facts that are wrong or prejudicial)

  • Over-sharing (don’t paste client-identifying facts into a public tool)

By forcing you to specify intent, context, and output, PromptCowboy nudges you toward more disciplined, repeatable AI use.

Bringing it into your practice today 📆

If you are a solo or small firm lawyer, you do not need a full-blown “AI strategy deck” to start. You need one or two well-crafted, reusable prompts for tasks you already handle every week—email drafting, checklists, or content summaries.

📢 Stay Tuned! In a future episode of The Tech-Savvy Lawyer Podcast, we’ll walk through a live PromptCowboy-to-LLM workflow and compare results across different tools. For now, pick one use case, build a prompt with PromptCowboy, and run it through your existing AI stack. Measure whether it saves you time without sacrificing quality or ethics.

Used thoughtfully, PromptCowboy can help bridge the gap between “AI-curious” and “AI-competent”—and that’s exactly where the profession needs to go next. 🚀

Why Macstock 2026 Should Be on Every Tech-Savvy Lawyer’s Calendar (and How to Save $50 with My Code) ⚖️💻

/ The Tech-Savvy Lawyer.Page/

macstock 2026 will be held july 10, 11 & 12, 2026!

If you’re a solo, small-firm, or AI‑curious lawyer who lives in the Apple ecosystem, Macstock 2026 is one of the few conferences that genuinely respects both your time and your tech stack. It’s a three‑day, community‑driven, Apple‑centric event where you can sharpen your skills with your Mac, iPhone, and iPad, and walk away with workflows you can actually deploy on Monday morning.

This year, I’m honored to be speaking at Macstock X on “Podcasting with Apple: From Idea to Launch Using the Gear You Already Own.” We’ll take a practical walk through planning, recording, and publishing a professional‑quality podcast using the same devices you already carry into court, client meetings, and your home office. Whether you want to build a niche show for veterans’ benefits, family law, or small‑business compliance—or simply become a more confident guest on other podcasts—this session is designed to be accessible, concrete, and repeatable. 🎙️

What Makes Macstock Different (and Why Lawyers Should Care)

Macstock isn’t a generic tech expo with a handful of Apple sessions bolted on; it’s an independent, Apple‑focused conference built for people who actually use Apple gear every day. The attendees range from first‑time Mac users to seasoned creators, but everyone shares a common goal: get more from Apple hardware and software without drowning in jargon.

For attorneys, that matters. You’re not trying to become an IT professional. You want to:

  • Capture and organize evidence more efficiently on your iPhone. 📱

  • Draft, annotate, and sign documents on your iPad when you’re away from the office.

  • Automate repetitive tasks on your Mac so you can spend more time on advocacy and less on admin.

learn how to use your mac to podcast!

Macstock’s sessions, hallway conversations, and Creator Camp tracks are all geared toward real‑world workflows—exactly the kinds of workflows I talk about on The Tech-Savvy Lawyer podcast and blog, including episodes like “Ethical AI, Paperless Practice, and Smart Hardware Choices with ABA LTRC Chair Alan Klevan ⚖️🤖” and similar deep‑dives into ethical tech use.

A Time-Sensitive Deal: Save $50 and Support The Tech-Savvy Lawyer

Let’s talk about timing and value. You can use my code TECHSAVVYLAWYER at checkout to save $50 on your Macstock Weekend Pass or Creator Camp Bundle. If you’ve been thinking, “I should go to Macstock one of these years,” this is that year.

For every person who uses the code, Macstock provides me a $25 referral fee. That means:

  • You pay $50 less for a weekend of Apple‑centric, workflow‑rich content.

  • You directly support The Tech-Savvy Lawyer blog and podcast, including future episodes and tutorials.

The code TECHSAVVYLAWYER is not case‑sensitive and is valid through July 8, 2026.

How Macstock Helps You Meet Your Ethical Tech Duties

your The Tech-Savvy Lawyer.Page Blogger and podcaster will be presenting at Macstock x!

Macstock is not marketed as a legal tech conference, but it naturally supports your professional obligations under the ABA Model Rules.

  • Competence — Model Rule 1.1 (Comment 8): You have a duty to keep abreast of the benefits and risks associated with relevant technology. Learning how to securely use Apple devices for uses like document management, client communication, and evidence handling goes directly to your duty of technological competence.

  • Confidentiality — Model Rule 1.6: Many sessions at Macstock touch on system settings, backups, and secure workflows. Understanding how to configure your Apple devices to minimize unauthorized access, especially when using cloud sync and third‑party apps, strengthens your compliance with confidentiality obligations.

  • Communication — Model Rule 1.4: Clear, timely communication often depends on your ability to reach clients where they are—email, secure messaging, or even video updates. The more confidently you use your Apple tools, the more reliably you can keep clients informed.

If there is not a session directly addressing your questions, there are many enthusiastic, friendly attendees and speakers happy to try to help you and your Apple computer needs! 🤗

On The Tech-Savvy Lawyer blog and podcast, we frequently link these ethics points to real tools and scenarios—just as we did in episodes exploring AI, deepfakes, and metadata in digital evidence—and Macstock is a natural extension of that mindset.

Why Lawyers Should Care About Podcasting with Apple

Podcasting can be more than a marketing buzzword. Done right, it can be:

  • A client education channel that answers common questions before they become billable emergencies.

  • A way to build authority in a niche practice area—veterans’ benefits, immigration, special education, you name it.

  • A platform to interview judges, experts, and colleagues in a way that strengthens professional relationships.

My Macstock session, “Podcasting with Apple: From Idea to Launch Using the Gear You Already Own,” is focused on practical, lawyer‑friendly steps. We’ll talk about using your iPhone as a primary microphone, recording with your Mac, organizing episodes in iCloud, and editing in approachable tools—no audio engineering degree required. If you enjoy my conversations with guests on The Tech-Savvy Lawyer podcast, this session will show you what it takes to stand behind the mic yourself.

Community, Not Just Content

One of the things I appreciate most about Macstock is the community. People go back year after year not only because the sessions are strong, but because the hallway track, shared meals, and evening conversations provide real, candid problem‑solving time.

For lawyers—especially solos and small‑firm practitioners—this kind of peer‑to‑peer exchange is invaluable. You’ll find people who:

  • Have already solved a workflow you’re struggling with.

  • Are willing to share templates, shortcuts, and practical advice.

  • Understand the pressure of balancing client work, marketing, and a life outside the office.

If you’ve listened to episodes like my MacVoices “Road to Macstock” appearance in 2024, you’ve heard how much I value that human side of legal tech and Apple tech events.

Ready to Join Me at Macstock?

If you’re serious about making your existing Apple gear work harder for your practice—without overwhelming your staff or your budget—Macstock 2026 is worth the trip. You’ll return with actionable workflows, renewed confidence, and a clearer sense of how to align your technology use with your ethical obligations.

Just don’t wait:

  • Sign up at https://macstockconferenceandexpo.com/register/

  • Use code TECHSAVVYLAWYER (not case‑sensitive) for $50 off your Macstock Weekend Pass or Creator Camp Bundle.

  • For every use of the code, I receive a $25 referral fee that helps sustain The Tech-Savvy Lawyer content you rely on.

I look forward to seeing you at Macstock X— and hopefully hearing your voice in the podcasting space soon. 🎧⚖️

🎙️ Ep. 138: How US Legal Support Integrates AI, Security, and Remote Depositions into Your Litigation Tech Stack ⚖️💻

/ The Tech-Savvy Lawyer.Page/

use AI transcript review to streamline complex deposition analysis!

My next guest is Jimmy Bridwell of US Legal Support, a Houston‑based litigation support company that manages depositions, record retrieval, trial technology, and graphics generation for law firms nationwide. In this post, we dive into how US Legal Support blends security, integration, and AI‑driven tools to help solos, small firms, and AM Law practices modernize their tech stack, streamline discovery, and run more effective remote depositions.⚖️💡

Join Jimmy Bridwell and me as we discuss the following three questions and more!

  • What are the top three ways lawyers should expect companies like US Legal Support’s technology platforms — whether remote deposition solutions, transcription services, or document management — to integrate seamlessly into a law firm’s existing tech stack to eliminate duplicative data entry and streamline trial preparation?

  • What are the top three technology investments or skillsets that lawyers consistently overlook, but would dramatically improve their practice efficiency and client services in 2026?

  • Based on US Legal Support’s experience facilitating over 245,000 remote events annually, what are the top three technology mistakes you see lawyers making during remote depositions or virtual proceedings, and how can they course correct to deliver more efficient client representation?

In our conversation, we cover the following

  • [00:00:00] Jimmy’s personal tech stack: Surface Pro laptop, 47‑inch curved Samsung monitor, HyperCast microphone, and Logitech Brio camera in a Microsoft‑based environment with Microsoft Cloud.

  • [00:00:45] Managing dual smartphones (Apple for work, Android for personal) and why Apple’s security posture matters in litigation and device holds.

  • [00:01:20] How US Legal Support uses Apple computers in graphics studios while the broader organization runs on Microsoft infrastructure.

  • [00:02:00] Defining the first big question: how vendors like US Legal Support should integrate with law firm tech stacks to prevent duplicate data entry.

  • [00:02:15] Why integration, security, and data management form the core triad for any law‑firm‑to‑vendor data exchange.

  • [00:03:00] The importance of a single, trusted first input for case data so humans aren’t re‑keying information across multiple systems.

  • [00:03:40] Inside US Legal Support’s security model: SOC 2 Type 2, HIPAA, NIST protocols, Microsoft and Amazon cloud, and internal security validation.

  • [00:04:40] Concrete questions lawyers should ask prospective vendors about encryption, security reviews, and penetration tests.

  • [00:06:00] Data breach reporting expectations and the need for a clearly published, timely incident response framework.

  • [00:07:30] Data management and access: preventing unauthorized secondary use of client data and guaranteeing 24/7 access to discovery and litigation documents.

proper ai use can help prevent chaotic Zoom deposition versus calm litigation!

  • [00:08:30] Integration patterns: standardized vs customized APIs, multipoint data flows, and the importance of vendor integration experience with law firm case management tools.

  • [00:11:00] Reframing overlooked tech investments and skills, with an emphasis on AI‑powered transcript review in 2026.

  • [00:11:15] How AI‑assisted transcript review condenses multi‑day depositions into summarized, keyworded, and key‑point‑driven outputs for faster strategy decisions.

  • [00:12:20] Why AI hallucination risk is lower when models work directly from the underlying deposition record.

  • [00:14:10] AI‑assisted deposition tools: secure portals that ingest exhibits and records, identify pre‑existing conditions, output outlines, and suggest deposition questions.

  • [00:15:40] Comparing legacy OCR workflows to today’s generative AI tools and how template‑free extraction speeds up discovery.

  • [00:17:00] Evaluating partners with holistic litigation solutions versus piecemeal, point‑solution vendors.

  • [00:18:00] The maturation of the litigation support market from small shops with thin tech budgets to larger organizations with in‑house dev teams.

  • [00:19:10] Why US Legal Support favors transactional BPaaS pricing over long subscription contracts in a fast‑moving tech landscape.

  • [00:22:00] Common mistakes in remote depositions, including heavy reliance on general meeting tools like Zoom for litigation‑specific workflows.

  • [00:22:10] Litigation‑ready platforms vs. meeting tools: exhibit management, date stamping, annotations, real‑time feeds, and AI enhancements.

  • [00:24:00] The evolution of case management platforms from generic workflow systems to highly tuned legal solutions.

  • [00:26:00] Emerging horizon tools, including facial recognition and facial sentiment analytics for remote proceedings.

  • [00:26:40] The long‑tail impact of COVID: remote depositions moving from nearly 0% to roughly 60–70% of proceedings, and how that forced adoption changed lawyer attitudes.

  • [00:27:30] Internal adoption challenges in medium and large firms: inconsistent processes, under‑used tech, and the operational cost of “every lawyer does it differently.”

  • [00:29:00] Applying manufacturing‑style process discipline to law firm workflows while respecting attorney autonomy.

  • [00:30:00] Where to find US Legal Support online and how they serve clients across the United States.

RESOURCES

Connect with Jimmy Bridwell

lawyers make sure your cloud platforms are SOC 2, HIPAA, NIST‑compliant!

  • US Legal Support: https://www.uslegalsupport.com

Hardware mentioned in the conversation

Software & Cloud Services mentioned in the conversation

MTC: AI Voice Cloning, Deepfake Fraud, and Crime Junkie: What Lawyers Must Learn Now ⚖️🧠

/ The Tech-Savvy Lawyer.Page/

As a tech-savvy and ethically compliant lawyer, are you prepared to handle an ai voice-call scam?

We live in a world where a client can hear their child scream for help over the phone, know that voice down to the quiver in their sobs, and still be wrong about what’s real. At the same time, lawyers are getting “official” calls from spoofed sheriff’s offices demanding Bitcoin bail payments that feel just plausible enough to pass the sniff test. If you think your clients are the only ones at risk, you’re already behind.

As a long-time Crime Junkie fan, I’m grateful to Ashley Flowers, Brit Prawat, and the Audiochuck team for doing something the legal profession hasn’t always done well: translating complex, evolving tech crime into stories real people understand. Their recent warnings about AI voice cloning, virtual kidnappings, and sophisticated online scams are more than compelling podcast episodes—they’re mandatory listening for lawyers who care about their clients, their firms, and their own digital safety.

In this editorial, I want to bridge those Crime Junkie stories into practical takeaways for solo and small-firm lawyers, AI‑curious practitioners, and even tech‑skeptical colleagues. We’ll look at how these scams work, how the ABA Model Rules already expect you to understand enough technology to spot them, and how to turn “true crime” lessons into concrete safeguards for your practice. ⚙️

When Your Ears Can’t Be Trusted: AI Voice Cloning and Virtual Kidnappings 🎙️

In “WARNING: AI Voice Cloning and Virtual Kidnappings,” Crime Junkie walks us through a terrifying call to a mother who hears her daughter sobbing, begging for her life, while a man demands a ransom and lays out graphic threats. The twist, as many of us now know, is that the daughter is safe; the “kidnappers” are using AI‑cloned audio drawn from a tiny sample of her voice to weaponize panic.

Researchers cited in the episode describe how low‑cost AI tools can create a convincing voice clone from as little as three seconds of audio. Caller ID spoofing then makes it look like the call is coming from the victim’s phone, while scammers press for fast, untraceable payments in cash, gift cards, or crypto. The technology is cheap, the scripts are refined, and the goal is simple: override your critical thinking before you can verify anything.

From a legal ethics perspective, this isn’t just an interesting cybersecurity anecdote. ABA Model Rule 1.1 on competence—especially Comment 8—requires you to stay abreast of “the benefits and risks associated with relevant technology.” An environment where your client can be tricked into paying a fake ransom, or where your own voice can be cloned to mislead staff or opposing parties, is very much “relevant technology.”

If you are not talking with clients and staff about AI‑driven fraud risk, you are not just missing a teaching moment—you may be edging toward a competence problem under the Model Rules.

Lessons for Client Counseling: Safe Words, Verification, and Panic‑Proof Plans 🛟

One of the most practical takeaways in the AI voice cloning episode is also one of the simplest: set a family and a seperate law office “safe word” and rehearse how to verify calls under extreme stress. The FBI, National Cybersecurity Alliance, and digital forensics experts interviewed for the episode all echo the same theme—pre‑commitment beats improvisation when panic hits.

This is precisely the kind of low‑tech, high‑impact advice lawyers can—and should—be giving in client counseling sessions, especially with:

  • Family law clients dealing with high‑conflict co‑parenting or domestic violence

  • Estate planning clients with vulnerable or elderly relatives

  • Business clients whose executives or finance staff could be targeted by “CEO voice” scams

Here’s a concrete, lawyer‑friendly checklist you can adapt:

  1. Safe Word Policy
    Encourage clients to adopt a family or organizational safe word, shared only in person or via secure channels, for any call alleging an emergency or ransom demand.

  2. Verification Protocols
    Teach clients to verify via a second channel: call back on a known number, text from another device, or contact a third person who can physically locate the supposed victim.

  3. Call 911 First When in Doubt
    Emphasize that if they believe a life is at risk, they should call 911—even if they suspect it might be a scam. Law enforcement can help triage the situation; if it’s a scam, they can sort that out after.

  4. Evidence Preservation
    Tell clients to screenshot call logs, save audio, and preserve any “proof of life” photos or messages before they disappear, as some software can make photos exist only for seconds. Those artifacts can be invaluable if law enforcement or insurers later investigate.

This kind of counseling fits squarely within ABA Model Rule 2.1 (Advisor), which encourages lawyers to consider “moral, economic, social, and political factors” in advising clients. You’re not just parsing statutes; you’re helping clients design their own risk‑management frameworks in a world where even their senses can be hacked.

The second Crime Junkie episode I wanted to share, "WARNING: Online Scams", focused on other kinds of scams involving technology:

How Scammers Use Our Systems Against Us: Fake Warrants, Bitcoin Bail, and “Officer Smith” 👮‍♂️💸

Lawyers, are you prepared to advise your client on ai scams?

A couple receives a voicemail from what appears to be their local sheriff’s office, learns there’s a warrant for missing jury duty, and is told they can avoid booking if they pre‑pay bail via Bitcoin and Venmo. They do their homework—they verify the number online, they look up “Officer Smith,” they cross‑check the department. Yet they still end up running between ATMs, feeding money into a Bitcoin kiosk, and nervously wiring funds to what looks like a legitimate bail account.

Only later, after calling a non‑emergency line and getting a return call from a blocked number (as their real department actually uses [versus the scammer’s phone number that appeared on their caller ID), do they learn the uncomfortable truth: the “bail by Bitcoin” story was a scam.

Crime Junkie does an excellent job breaking the lessons down into clear rules:

  • Police will not call to give you a “heads‑up” that you’ve broken the law.

  • Bail is paid in person, not by Bitcoin, gift card, or Venmo.

  • Hanging up and calling back on a separately verified number can serve as an important safety/security step.

For lawyers, these stories are a vivid reminder that many scams are “legal‑adjacent”—they borrow just enough from real procedures (jury duty, warrants, bail, sheriff’s offices) to feel legitimate. That makes them particularly dangerous for our clients and our staff, who may over‑defer to anything with a whiff of authority.

Under ABA Model Rule 5.3, lawyers have an obligation to ensure that nonlawyer assistants act in a manner compatible with the lawyer’s professional obligations. That includes training staff to handle legal‑sounding calls skeptically: to question unusual payment methods, verify claims through known channels, and escalate suspicious calls before anyone withdraws or wires funds.

If your receptionist or office manager wouldn’t know how to respond to a call like the one just described, that’s a training gap you can fix—ideally before it becomes a loss.

Fraud in the Grey Zones: Sugar Daddies, Freelance Gigs, and Client Shame 🧾

Crime Junkie also covers scams that operate in more personal and sometimes stigmatized spaces: sugar‑daddy arrangements gone wrong; freelance “job offers” that rely on fraudulent checks; supposed production gigs that pay you to buy equipment, then claw back your real money once the check bounces.  These scams involve computers, phones, the World Wide Web, and even an electronically altered check

In the sugar‑daddy story, a young woman on a sugar‑daddy online platform is manipulated into buying hundreds of dollars’ worth of Steam gift cards to “prove” she’s not scamming her would‑be benefactor, only to realize too late that she’s been exploited. In the job offer story, a freelance audio professional is mailed a check to buy gear for a production; he wisely flags the check, closes his account, and discovers that the job posting piggybacked on a real company’s identity.

Three legal practice lessons stand out here:

lawyers and their clients can learn a lot from shows like crime junkie about ai scams and their impact on their clients!

  1. Clients may not tell you everything, especially if the scam involves sex, money, or perceived “stupidity.” The victims in these cases describe deep embarrassment and shame, which initially kept them from reporting to the police. For lawyers, this kind of hesitation could cause further bar issues beyond the incident itself.

  2. Financial exploitation often intersects with the kinds of matters solos and small firms already handle. Think consumer protection, elder law, family law, or small business disputes. Clients who’ve been scammed may appear with half‑formed stories, partial evidence, and a strong desire to move on rather than report.

  3. Failing to respond promptly—or at all—to suspected scams or financial exploitation can compound the harm and create independent ethics problems. When a lawyer ignores red flags, delays advising the client, or fails to investigate and remediate potential trust‑account or fraud issues, regulators may view that as a separate violation of duties of competence, diligence, communication, and safeguarding client property, even if the underlying scam originated outside the firm. In extreme cases, a pattern of slow or inadequate responses can trigger bar complaints or disciplinary investigations that focus less on the initial scam and more on the lawyer’s failure to act once on notice.

ABA Model Rule 1.4 (Communication) and 1.14 (Client with Diminished Capacity) come into play here. You must explain matters to clients in a way they can understand, but you also need to create a space where they can safely share how they were targeted without fear of ridicule. That’s emotional work, not just analytical work.

One practical move: incorporate scam‑screening questions into your intake forms and interviews. Ask clients explicitly whether anyone has recently requested unusual payment methods, impersonated a government agency, or pressured them to act quickly under threat of legal or physical harm.

Firm‑Level Risk: Deepfakes, Staff Training, and Incident Response 🏢🔐

These Crime Junkie episodes also raise uncomfortable questions about law firm operations. What happens when it’s not a client but you whose voice is cloned? What if a deepfake of your voice instructs staff to release trust funds or share confidential documents?

In “WARNING: AI Voice Cloning and Virtual Kidnappings,” the FBI describes how scammers run these operations like call centers, constantly cycling through numbers and scripts to maximize success. The same industrialization is happening in business email compromise (BEC) and invoice fraud—areas where law firms are already prime targets.

Three concrete actions you can take at the firm level:

  1. Adopt a “trust but verify” rule for any out‑of‑band instruction involving money or confidential data. No transfer of client funds, no disbursement of settlement proceeds, and no release of sensitive documents should happen based on a single phone call, even if the caller “sounds” like you.

  2. Implement multi‑factor workflows, not just multi‑factor authentication. For example, any financial instruction must be confirmed via a second channel (secure client portal, verified email, or in‑person) before action. 

  3. Document an incident response plan that includes deepfake and scam scenarios. ABA Model Rules 1.6 (Confidentiality) and 5.1 (Responsibilities of Partners and Supervisory Lawyers) expect you to have reasonable safeguards and supervisory structures. That includes knowing what to do when—not if—your systems or people are tested.

These are precisely the kinds of measures we walk through in The Tech-Savvy Lawyer.Page blog and podcast episodes on AI, deepfakes, and metadata—where we discuss the intersection of ethics, evidence, and emerging tech.

Bridging Crime Junkie and Legal Ethics: Story as a Compliance Tool 📚✨

lawyers need TO think calmly when confronted with ai scams let alone any scam!

One of the most useful things about Crime Junkie is that Ashley and Brit don’t just scare you; they give you scripts, safe‑word strategies, and “here’s what to do next” checklists. Lawyers can—and should—borrow that model.

Instead of sending clients dense policy memos, consider:

  • Sharing these specific episodes with a short email explaining why they matter:

    • “WARNING: AI Voice Cloning and Virtual Kidnappings” – Crime Junkie’s breakdown of how cloned voices fuel virtual kidnapping scams and what the FBI recommends.

    • “WARNING: Online Scams”, the online scams episode about fake warrants, sugar daddies, job scams, and fraudulent checks.

  • Pairing the episode with your own one‑page client guide that translates the stories into local, practical legal advice—how your jurisdiction handles actual warrants, how bail really works, and how you want clients to contact you if they suspect a scam.

  • Integrating these stories into CLEs and staff training, using them as case studies for ABA Model Rule 1.1 (Competence), 1.6 (Confidentiality), 1.4 (Communication), and 5.3 (Nonlawyer Assistants).

The goal isn’t to turn your practice into a true crime podcast. It’s about leveraging narratives your clients and staff will actually remember when the phone rings, the voice shakes, and the clock starts ticking.

Lawyers in words, facts, and rules. But in an era of AI voice cloning, deepfake fraud, and industrialized scamming, the difference between a near‑miss and a catastrophe may come down to whether your clients have heard the right story—and practiced the right response—before the crisis hits.

So grab your headphones, queue up Crime Junkie, and then bring those lessons into your practice. Your clients, your firm, and yes, you, will be safer for it. 🎧⚖️

🎙️ Ep. #137 - How Lawyers Can Protect Kids Online: COPPA 2.0, Age Assurance, and AI Chatbots with FOSI’s Andrew Zach 👨‍⚖️🔐

/ The Tech-Savvy Lawyer.Page/

My next guest is Andrew Zach, Senior Policy Counsel at the Family Online Safety Institute (FOSI), where he works at the intersection of technology, privacy law, and child online safety policy in Washington, DC. In this Tech‑Savvy Lawyer.Page episode, we unpack what family‑centered online safety really means for practicing attorneys, from intake forms and client portals to law practice management systems, social media, and rapidly evolving AI chatbots. Andrew explains COPPA and the proposed COPPA 2.0, explores how states and countries are experimenting with age assurance, and offers practical guidance for lawyers who handle sensitive images, minors’ data, and AI‑driven tools while staying compliant and supporting parents. If you are an attorney, legal professional, or a tech‑curious parent, this conversation will help you make smarter, safer choices about how you use technology in and around your law practice.

Join Andrew and me as we discuss the following three questions and more! ⚖️💻

  1. What are the top three practical steps every lawyer should take to bake in family‑centered online safety when designing client‑facing tech, websites, portals, intake forms, messaging, and social media?

  2. What are the top three technology tools or configurations law firms should implement to better protect children and teens who may be affected by legal technology, whether they are direct clients in a family matter or simply sharing devices with adult clients?

  3. If you were advising bar associations and practice‑area leaders, what would be the top three CLE or policy priorities to ensure lawyers responsibly use AI, client portals, and other digital tools while supporting parents and caregivers in keeping families safe online?

In our conversation, we cover the following ⏱️

  • 00:00 – Welcoming Andrew and his current tech setup: MacBook Pro, external monitor, iPhones, and wired Bose headphones 🎧

  • 01:00 – What is FOSI and how it works across policy, digital parenting, and industry best practices to keep families safer online 🌐

  • 02:00 – COPPA basics: verifiable parental consent for under‑13 data, why COPPA is dated, and the patchwork of state privacy laws filling the federal gap 📜

  • 03:00 – California privacy leadership, international regimes (like Europe), and why the US needs a comprehensive data privacy law with limits on collection, use, storage, and sale of personal data 🧩

  • 04:00 – HIPAA, SOC 2, agentic AI chatbots on legal websites, and why notice, consent, and data minimization matter for law firms adopting AI‑driven intake and support tools 🤖

  • 05:00 – Data minimization as a safeguard when storage or breaches go wrong; retention and disclosure issues in worst‑case scenarios 📂

  • 05:30 – Handling sensitive images in legal practice (family photos, abuse evidence) and why state‑by‑state rules make it hard to manage online safety and data privacy consistently 🧾

  • 06:00 – Why a stronger federal law is needed, and what COPPA 2.0 (Children and Teens Online Privacy Protection Act) could change, including raising the age of digital consent and protecting teens from targeted advertising 🎯

  • 07:00 – Everyday scenarios: sharing kids’ photos with family, private messaging vs social media, and why limiting audience and avoiding “questionable” content is critical 👨‍👩‍👧‍👦

  • 08:00 – Why “private” Facebook accounts with many friends still are not private enough for potentially risky images and what safer sharing looks like 🔒

  • 09:00 – Keeping audiences limited in litigation and family law contexts while complying with legal guidelines for highly sensitive evidence 📁

  • 10:00 – Defining age assurance vs age verification, and how tools like facial age estimation, IDs, and self‑declaration fit into online safety compliance 🧑‍💻

  • 11:00 – International and US examples: UK social media age checks, Australia’s age assurance trials, and Texas cases on adult sites and app‑store‑level verification ⚖️

  • 12:00 – Free Speech Coalition v. Paxton upholding age verification for adult sites versus the App Store Accountability Act’s broader mandate and why it was enjoined 🏛️

  • 13:00 – Financial harm to parents from kids’ unsupervised app purchases and concerns about access to “harmful content” through apps and social media 💳

  • 14:00 – Is there such a thing as “age insurance”? Exploring liability, coverage, and why Andrew is not aware of a product like that 🧾

  • 15:00 – Apple vs Facebook on data tracking: long terms of service, Apple’s “Ask App Not to Track” pop‑up, and “arms race” messaging around personalization and privacy 📲

  • 16:00 – Communicating data practices clearly to users and kids; age‑appropriate disclosures and the role of legislation in requiring plain‑language privacy notices 🧠

  • 17:00 – “Kids’ accounts” on platforms like Instagram, retrofitting protections vs safety by design, and what private‑by‑default, constrained communication can look like for teens 🧒

  • 18:00 – Culture of responsibility: six entities in online safety (industry, policymakers, law enforcement, educators, kids, and families) and FOSI’s free digital parenting resources 📚

  • 19:00 – Why expecting parents to customize every app setting is unrealistic and how safety‑by‑design and data‑minimization can reduce that burden 🛠️

  • 20:00 – Parental responsibility vs platform responsibility, and how making parental controls easier (e.g., YouTube teen account setup time) can encourage meaningful engagement 👪

  • 21:00 – Recent cases in New Mexico and California: addiction, mental health, platform design, and new legal strategies targeting harms beyond specific content 🧑‍⚖️

  • 22:00 – The Joe Camel analogy, marketing to kids, and why FOSI avoids equating social media directly with tobacco while still pushing for better design safeguards 🚭

  • 23:00 – Features like “take a break” and limits on infinite scroll; designing for vulnerable users and younger audiences from the outset 🧱

  • 24:00 – AI chatbots in legal practice: risks of emotional dependence, mental health harms, and why unregulated bots should not replace trained professionals in sensitive contexts 🧩

  • 26:00 – How often teens and families are using generative AI, and the emerging theme of stricter rules or disclosures for legal, medical, and financial advice from chatbots 🧮

  • 27:00 – Disclaimers and transparency for client‑facing chatbots on law firm sites; state‑by‑state experimentation and potential new duties for lawyers using AI in practice 💬

  • 28:00 – The White House’s national AI policy framework, its child‑safety focus, and the need for congressional action, preemption questions, and national standards 🇺🇸

  • 29:00 – Why bar associations and lawyers should track AI policy developments closely as they intersect with ethics, confidentiality, and family online safety 🔍

  • 30:00 – FOSI’s “good digital parenting” resources, device agreements, and practical scripts for setting expectations with kids about devices and online behavior 📄

  • 31:00 – Where to find Andrew online, including FOSI’s website and his “Andrew the Policy Guy” content on LinkedIn and TikTok 📲

RESOURCES

Connect with Andrew 🌐

Mentioned in the episode 📝

Hardware mentioned in the conversation 🖥️

Software & Cloud Services mentioned in the conversation ☁️

When Your AI Thinks It’s 1930: How Lawyers Must Manage “Frozen” Data Sets Versus the Live Internet 🧠⚖️

/ The Tech-Savvy Lawyer.Page/

AI Legal Research Demands Current Data and Human Judgment

A recent Malwarebytes article profiled “Talkie,” a 13‑billion‑parameter chatbot trained only on English‑language texts published before 1931. This model has no knowledge of anything after the Great Depression—no email, no smartphones, no cybercrime, and certainly no modern e‑discovery. 

For lawyers, Talkie is more than a curiosity. It is a vivid illustration of what happens when an AI’s world stops at an arbitrary date, and why we must understand the difference between isolated data sets and models that continuously ingest the modern internet. That distinction goes straight to your duties of competence, confidentiality, supervision, and candor under the ABA Model Rules. 

On The Tech‑Savvy Lawyer podcast, it is often discussed that “AI is the junior associate you don’t have to hire—but still have to supervise.” Talkie shows us what happens when that junior associate’s legal education ends in 1930. The lesson for your practice is simple: you cannot outsource judgment to any tool, especially one whose view of the world is frozen in time.

What “Vintage AI” Teaches Modern Lawyers 🕰️

Talkie was trained entirely on digitized books, newspapers, legal texts, and other publications in the public domain as of 1930, both to avoid modern copyright headaches and to explore how AI reasons without the internet. In other words, it is a deliberately isolated system: no post‑1930 statutes, no contemporary case law, no modern regulations. 

That design makes Talkie an excellent analogy for every “walled garden” AI lawyers are now being sold—closed research tools, local models trained only on internal firm documents, or court‑approved systems limited to a curated corpus. These tools can be invaluable, but only if you understand three things:

  • What is in the data set.

  • What is deliberately excluded.

  • How often the corpus is refreshed—or if it ever is.

Model Rule 1.1’s duty of technological competence now explicitly includes understanding the “benefits and risks” of relevant technology, which in 2026 squarely includes AI trained on defined corpora. If you do not know what your AI has seen, you cannot competently rely on what it says.

Isolated Data Sets: The Upside for Lawyers ✅

Many solos and small firms are understandably drawn to “closed” or time‑boxed AI systems because they feel safer and more controllable. 😊 Properly designed, those systems can offer real advantages:

  • Predictable scope of authority
    An AI trained only on a vetted body of primary law and secondary sources may be easier to supervise, because you know its universe of materials. You can design workflows where AI research is always checked against the underlying authorities that you recognize and trust. 

  • Reduced confidentiality and IP risk
    Talkie avoids modern copyright disputes by staying within the public domain. Similarly, a local or on‑premises model that does not send data back to a vendor can help you satisfy Model Rule 1.6’s confidentiality obligations—assuming you confirm that the tool does not re‑use your client data to train others’ models. 

  • Consistent, auditable outputs
    With an isolated corpus, it is often easier to log queries, outputs, and the underlying sources, which supports your obligations under Rules 5.1 and 5.3 to supervise both lawyers and non‑lawyer assistants, including AI tools. 

For certain use cases—drafting from your own templates, summarizing client files, or querying only your firm’s knowledge base—a “frozen” or walled‑off model can be exactly the right approach. 

The Hidden Risks of “Frozen” Knowledge 🚨

Lawyers Must Verify AI Case Summaries Before Court

The malware researchers emphasize that Talkie has “no concept” of anything after 1930. That is charming when it tries to explain a “smartphone” using the vocabulary of the telegraph age; it is malpractice waiting to happen if your research tool does the equivalent in a modern brief. 

For lawyers, isolated or out‑of‑date data sets create at least four serious risks:

  • Outdated or incomplete law
    A time‑boxed research tool can miss controlling authority, recent statutory amendments, or new regulations. Under Model Rules 1.1 and 3.3, you cannot rely on a system that stops short of the current law and then present its output as if it were complete.[5][10][3]

  • Distorted factual context
    An AI that has never “seen” modern technology, social conditions, or scientific developments will reason with blind spots that can undermine your factual investigations under Rules 1.1 and 1.3. Think about relying on a pre‑1931 lens for today’s cybersecurity, social media defamation, or veterans’ disability claims involving modern diagnostics. 

  • Invisible bias baked into old texts
    Pre‑1931 materials, like any historical corpus, embed the social, racial, and gender biases of their era. A “vintage” model may reproduce those biases in ways that conflict with your obligations around fairness and anti‑discrimination, and could taint your client‑intake, hiring, or case‑evaluation workflows. 

  • False sense of safety
    Because these systems are “limited,” lawyers may assume they are automatically compliant or “approved.” 😬 But ABA Formal Opinion 512 is clear: the existing rules—competence, confidentiality, communication, candor, supervision, and reasonable fees—apply equally to AI tools, regardless of their training set. 

The message: isolation is not a substitute for judgment. It simply changes the error profile you must manage. 

Live Internet Models: Power With Extra Liability 🌐

At the other end of the spectrum are AI tools connected to the live internet—systems that can pull from statutes, cases, news, and commentary that changed yesterday or this morning. They offer speed and breadth that solos and small firms could only dream of a few years ago. 

But internet‑connected models also present their own set of concerns:

  • Hallucinations blended with real‑time data
    Even when a system claims to be “citing live sources,” you still must verify every authority under Rules 1.1, 3.3, and 5.3. Courts and bars have already disciplined lawyers for filing AI‑generated briefs with fabricated citations. 

  • Ongoing confidentiality exposure
    If the model sends prompts to remote servers, you must analyze data‑handling, retention, and training policies to comply with Rule 1.6. You may need to anonymize prompts, modify your engagement letters, or obtain informed consent for certain uses, as many bars and Formal Opinion 512 recommend. 

  • Dynamic but uncurated sources
    Unlike a curated pre‑1931 corpus, the open web mixes reliable law with marketing pages, blog posts of dubious quality, and outright misinformation. Under Model Rule 1.1, you must treat AI‑surfaced content like any other secondary source: helpful, but never authoritative without independent confirmation. 

The fact that a tool is “up to date” does not relieve you of your duty to be right. It just changes where the landmines are. 😄

Practical Guardrails for AI‑Curious Lawyers 🛠️

In a recent episode of The Tech‑Savvy Lawyer podcast with AI consultant Hamid Kohan, we discussed building an “AI‑ready” practice that treats these tools like supervised, specialized staff—not black boxes. Whether you use a Talkie‑style frozen model, a live internet assistant, or both, consider putting these guardrails in place: 

  1. Inventory your AI tools and their data sources
    For each tool, document what data set(s) it uses (public domain only, commercial databases, firm documents, open web), how often it updates, and how it handles your data. This goes directly to your competence and confidentiality duties under Rules 1.1 and 1.6. 

  2. Define “approved uses” in your firm policies
    Under Rules 5.1 and 5.3, establish written guidance for lawyers and staff: e.g., “Use Tool A only for drafting internal outlines,” or “Use Tool B for brainstorming arguments, but never for final citations.” Train your team accordingly and revisit those policies quarterly. 

  3. Mandate human verification of law and facts
    Require that all AI‑generated citations, quotations, and factual assertions be checked against primary sources and the actual record before leaving the firm. That is how you satisfy Rules 1.1, 3.3, and your supervisory obligations. 

  4. Be transparent with clients and courts
    ABA guidance encourages disclosure of AI use where it is material to the representation or required by court rule. Consider adding a brief, plain‑English AI disclosure to your engagement letters and being prepared to describe, if asked, how you supervise AI‑assisted work. 

  5. Avoid over‑reliance that dulls your own analysis
    California’s guidance warns against delegating your professional judgment to generative AI or letting it replace your own research and critical thinking. Use AI as a springboard, not a crutch—an approach we have explored on The Tech-Savvy Lawyer.Page blog and podcast.

These steps are manageable even for solo and small‑firm lawyers with modest tech skills, and they align neatly with existing ethics frameworks. 💡

Choosing Between “Frozen” and “Live” AI: A Simple Matrix 📊

Frozen AI Data Sets Challenge Modern Legal Research

When should you prefer an isolated corpus, and when do you need the modern web? For many practices—especially for example, disability, administrative, and appellate work—the answer is “both,” but for different tasks. 

  • Use isolated or internal models for:

    • Summarizing your client’s file or medical records.

    • Drafting from your own templates and prior briefs.

    • Issue‑spotting in areas where the governing law is baked into the tool and updated on a known schedule.

    • Use live internet‑connected models (with caution) for:

    • Brainstorming novel arguments and locating secondary sources.

    • Scanning for recent regulatory changes or commentary.

    • Getting “layperson‑level” explanations you then translate into lawyer‑grade analysis.

In every scenario, you remain the final filter. Under the Model Rules, AI can accelerate your work, but it cannot own your judgment. Talkie is a reminder that the scope of what your AI knows is now an ethics question, not just a technical detail. 

Final Thoughts: Don’t Let Your Practice Get Stuck in 1930 ✨

Talkie’s charm lies in its limitations—it is a window into a world before the internet, World War II, and modern computing. Your law practice does not have that luxury. Clients expect you to understand the present, anticipate the future, and choose tools that serve both. 

Whether your AI is frozen in 1930 or streaming 2026 in real time, the obligations are the same: know what it knows, know what it cannot know, and supervise it accordingly. If you do that, you can harness AI’s benefits without letting your ethical obligations slip into the past. 🚀 

Shout Out! A Thunderstorm, Three Books, and a Room Full of Lawyers: Shout Out from The Lawyer’s Guide to Podcasting Launch 🌩🎙

/ The Tech-Savvy Lawyer.Page/

Seth price 📒 Carolyn Elefant 📒 Mindy Eisenberg 📒 Michael D.J. Eisenberg 📒 Wendy meadows 📒 scott

On May 20 in Bethesda, we launched The Lawyer's Guide to Podcasting: Building Your Brand, Audience, Tech Stack, and Expertise! with exactly the kind of energy I hoped this book would inspire: lawyers and legal professionals showing up for each other even as a serious thunderstorm rolled through the DMV. 🌧️🔥

Whether you braved the weather to come out, this post is for you. If you could not make it, think of this as your inside look at how a group of solos, small-firm lawyers, and AI‑curious professionals came together to talk about using podcasting as a serious business tool—one that fits comfortably within the guardrails of our ethics obligations under ABA Model Rules 1.1 (Competence), 1.6 (Confidentiality), and 7.1–7.3 (Communications about legal services).

A launch party built for working lawyers!

We gathered at the home of Carolyn Elefant in Bethesda—yes, in person, with real conversations and real snacks. 🥂 The goal was simple: make podcasting feel less like a mysterious “tech project” and more like a practical, repeatable part of your practice development strategy.

At the event, I walked through three concrete takeaways that mirror the book:

can’t have a launch party without cake!

  • A simple, lawyer‑tested podcast setup that you can actually keep running on a busy docket. 🎧

  • A short checklist of ethical and confidentiality questions to ask before you hit publish.

  • A set of ready‑to‑use episode ideas tailored to your practice area, so you are never staring at a blank calendar.

If those themes sound familiar, it is because they build on what we have discussed in prior posts and podcasts on the The Tech-Savvy Lawyer.Page. Together, they form the groundwork that became The Lawyer’s Guide to Podcasting: Building Your Brand, Audience, Tech Stack, and Expertise! 🎉

Shout Outs to the people who made the night! ⛈️

seth price and Michael D.J. Eisenberg exchange copies of their current releases!

A launch is never a solo act, even for a solo practitioner. I want to extend a very public, very appreciative shout out to a few people who made the evening special. 🙌

Finally, a heartfelt thanks to my wife and to every colleague, client, and friend who rearranged schedules and drove through a thunderstorm to be there. That kind of support is not just personally meaningful—it is a reminder that legal tech is at its best when it is rooted in community, not gadgets. 💙

Thank you Carolyn for hosting the book launch!

Why a podcasting book for lawyers—and why now?

If you follow the blog or listened to my guest appearance on Ruby Power’s “Power Up Your Practice”, Ep. 104: Legal Podcasting: The New Networking Standard, you have heard me say that podcasting is no longer a fringe experiment for lawyers. For solos, small‑to‑medium firms, and AI‑curious attorneys, a well‑designed podcast is:

  • An ongoing, searchable FAQ for your ideal clients.

  • A trust‑building channel for referral partners.

  • A training and onboarding tool for your own team.

In The Lawyer’s Guide to Podcasting, I walk through the tech stack and workflows that keep this realistic for a law practice, from microphones and recording platforms to editing, show notes, and ethical review. The idea is not to turn you into an audio engineer. The idea is to give you enough structure and competence that you work the basics yourself and delegate confidently without abdicating responsibility—very much in line with the duty of technological competence that is increasingly recognized under ABA Model Rule 1.1 and its state‑level interpretations.

Ethics, AI, and your voice behind the mic!🎙️

Many lawyers have told me that their hesitation about podcasting is not the microphone; it is the ethics. That is a healthy instinct. 👍

  • Model Rule 1.6 (Confidentiality) means no client can recognize themselves in your war stories without informed consent. In the book, I provide red‑flag questions and anonymization strategies you can bake into your outline before you record.

  • Model Rules 7.1–7.3 (Communications and Advertising) remind us that your podcast is marketing, direct or indirect, even when it feels like pure education. We cover how to structure disclaimers, avoid misleading “results‑typical” language, and respect solicitation limits while still giving real‑world examples.

  • For AI‑curious lawyers using tools like transcription, editing assistants, or AI‑drafted show notes, we address how to keep third‑party tools inside a framework that respects confidentiality and your supervisory responsibilities under the Rules.

If this resonates, you might also enjoy revisiting “Shout Out: Carolyn Elefant’s Review of Casetext v. ChatGPT!”, where she looked at AI in legal research through a similar ethics‑first lens. The same mindset applies here: use the tech, but do not outsource your judgment. 🧠

Where we go from here

get your copy of The Lawyers tech guide: The lawyer’s guide to podcasting today on amazon!

The launch party was one evening; the conversation will continue in the weeks ahead on this blog and its podcast as we highlight chapters, interview fellow legal podcasters, and share templates you can adapt for your own show.

If you are a solo, a small‑firm partner, or an in‑house counsel looking for a practical roadmap, you can find The Lawyer's Guide to Podcasting: Building Your Brand, Audience, Tech Stack, and Expertise! on Amazon. My hope is simple: the next time a thunderstorm rolls through the DMV—or your own calendar—you will have a system that keeps your podcast, and your practice development, moving forward. 🌩🎙

MTC: AI Won’t Replace Solo and Small-Firm Lawyers — It Will Supercharge Them ⚖️🤖

/ The Tech-Savvy Lawyer.Page/

Solo lawyers can use artificial intelligence as a virtual associate to handle legal research, drafting, intake, and billing in a modern small law firm ⚖️🤖

If you run a solo or small-to-medium firm, you’ve probably heard the predictions: AI will automate legal tasks in “12 to 18 months” or replace traditional lawyers entirely by 2035. Those headlines make great clickbait, but they miss what is actually happening on the ground in smaller practices. AI is not wiping out solo and small-firm lawyers; it is changing the mix of tasks we do — and creating more opportunities for us if we adopt it intentionally and ethically. 

In a recent Washington Post opinion, Damien Charlotin argues that AI won’t replace lawyers. It will create more of them. His logic is especially important for solos and small firms. He describes legal jobs as “bundles of tasks,” many of which are tightly linked and not easily peeled apart for automation. If you’ve ever juggled intake, research, drafting, negotiation, and billing in a single day, you know exactly what that tight bundle feels like. AI is about to start pulling on pieces of that bundle — and your job is to decide how to rebundle your work in a way that serves clients, protects ethics, and keeps your business healthy. ⚖️🤖

Why Solo and Small Firms Should Ignore the Doom Headlines 😅

Charlotin points out that lawyers have never been more numerous in the United States, with law school applications rising and record-high employment in bar-required jobs. That’s happening at the same time as AI hype, which should tell you something: the profession is not collapsing.

For solos and small firms, the bigger risk is not AI replaces me, but AI-literate competitors out-serve my clients. Larger firms may have innovation teams and internal IT, but you have agility and direct control over your workflows. If you can use AI to shave hours off routine tasks — and reinvest that time into client counseling, business development, or flat-fee offerings — you can turn AI from a threat into a differentiator. As I often say on The Tech-Savvy Lawyer.Page podcast, AI is the junior associate you don’t have to hire, but still have to supervise.

Your Practice as a “Tight Bundle” of Tasks 🧩

Charlotin’s “bundles of tasks” concept is tailor-made for solo and small-firm reality. In big firms, tasks can be split across teams; in smaller shops, you wear most of the hats. Research, drafting, strategy, client communication, and billing are often intertwined in a single matter.

For experienced lawyers, Charlotin notes, “doing legal research and evaluating an argument are … often the same mental activity” — we check the argument by writing it. If you offload only the writing to AI, verification becomes a separate, deliberate act that takes time, and if you skip it, you risk sanctions for hallucinated filings. This is why I push solo and small-firm lawyers to treat AI as an assistant that drafts and summarizes, while you retain control over the analysis and final product.

Lessons from E-Discovery for Small Practices 📂➡️📈

Charlotin likens the current AI hype to the e-discovery wave more than a decade ago. Back then, headlines like those from The New York Times predicted “Armies of Expensive Lawyers, Replaced by Cheaper Software.” What actually happened? The volume of discoverable material exploded; the tools became part of practice; and lawyers moved into new roles managing, interpreting, and litigating around that information.

That same Jevons paradox — cheaper processes leading to more usage — is already playing out in tools marketed to solo and small firms. AI-assisted drafting and research platforms now make it viable for smaller shops to handle matters that previously required big-firm staffing, and to offer more predictable pricing without cutting quality. Cheaper legal work often means more legal work — especially for clients who previously couldn’t afford you.

ABA Model Rule 1.1: Competence for Lean Teams 📚

Small law firm team using legal AI tools to improve collaboration, client service, and ABA-compliant workflows across a lean practice 👩‍⚖️👨‍⚖️💻.

For solos and small- to medium-sized firms, ABA Model Rule 1.1 on competence is both a challenge and an opportunity. It requires you to understand “the benefits and risks associated with relevant technology,” including AI. But unlike big firms, you can’t delegate that understanding to an IT department or an internal AI committee; you are the committee.

Practically, that means you need at least a working grasp of what your chosen AI tools do, how they handle data, and where they fit in your workflows. You don’t need to run every experiment at once. Start with one or two high-impact areas — say, summarizing long PDFs, generating first drafts of routine emails, or creating checklists from statutes or rules — and build from there. Competence for solo and small-firm lawyers is not about chasing every new feature; it’s about picking the right tools for your practice and using them deliberately.

Rules 5.1 and 5.3: Supervision When “You Are the Management” 👥🤖

You might think Rules 5.1 and 5.3 (supervision of lawyers and nonlawyers) are big-firm problems. They’re not. If you have even one staff member, contract attorney, or virtual assistant, you are responsible for how they use AI. And even if you’re truly solo, you’re still responsible for supervising the AI tools you deploy as if they were a nonlawyer assistant.

For small practices, the most practical move is a simple written AI policy, even if it’s a one-page document:

  • Which tasks can use AI (e.g., research assistance, first-draft documents);

  • Which tasks require heightened review (e.g., anything filed with a court);

  • Which tasks are off-limits (e.g., unsupervised client advice, sensitive fact patterns pasted into consumer chatbots).

As discussed both in Charlotin’s piece and in bar guidance for smaller firms, formal policies help you avoid ad hoc, inconsistent AI use that could jeopardize client confidentiality or court obligations.

Rule 1.6 Confidentiality: Cloud Tools on a Budget 🔐

Model Rule 1.6 on confidentiality doesn’t change just because you’re a small shop — but your margin for error is thinner. Many solos and small firms rely on cloud-based tools because they can’t host their own infrastructure. That’s fine, as long as you are careful.

Before pasting client facts into an AI tool, you must know whether it stores or reuses data, whether it trains on your inputs, and whether there’s an option for a “no training” or “enterprise” mode. When in doubt, prefer AI features built into reputable legal platforms (research tools, practice management systems, document automation suites) with clear confidentiality commitments, rather than generic consumer apps. On The Tech-Savvy Lawyer.Page, I hammer this point because solos cannot absorb the cost of a major data mishap the way some larger organizations can.

Legislative Inflation and Niche Opportunities for Smaller Firms 📜📈

Charlotin notes that every jurisdiction is “afflicted by legislative inflation” — more rules, more norms, more regulations. That means more interpretation, more disputes, more filings, and more need for lawyers. For solos and small-to-medium firms, this is an opportunity to carve out narrow niches and use AI to keep up with complex, evolving regimes that might otherwise be out of reach.

An AI-enabled solo can monitor regulatory changes, generate quick client alerts, and update templates far faster than before. Combined with targeted content marketing and SEO, this makes it possible to dominate specific micro-niches without a big marketing budget — something I frequently discuss on The Tech-Savvy Lawyer.Page when we talk about modern business development.

Entry-Level Work and the Solo/Small Pyramid 🧑‍🎓➡️⚖️

a Small-firm lawyer can use AI-powered legal technology to serve niche clients, track changing regulations, and deliver efficient legal services across a local market 🎯⚖️

Charlotin flags a serious concern: AI may change entry-level work. For big firms, that means rethinking associate leverage. In smaller firms, it means you may hire differently — or delay that first hire because AI picks up some of the routine drafting and research.

But Charlotin also notes that young lawyers are hired for reasons beyond their marginal drafting value — future partnership, signals to clients, bench strength for unpredictable surges. The same is true for small and mid-size firms. AI can handle some grunt work, but it can’t attend a community event, build a local reputation, or bring in referrals. If you use AI to free juniors from the most repetitive tasks, you can push them earlier into client-facing and business-building roles, which is exactly where smaller firms thrive.

Reorganization, Not Replacement — Especially for You 🔄

Charlotin closes by emphasizing that while the profession will look different in 2035, the lawyer is here to stay, and there will likely be more lawyers, not fewer. They will use AI — “they would be fools not to” — and they will charge for that value.

For solo and small-to-medium firms, the reorganization is already underway:

  • Routine drafting and research shift toward AI-assisted workflows.

  • Verification, judgment, and client counseling become even more central.

  • Niche expertise, responsiveness, and pricing flexibility become your competitive edge.

If you treat AI as a core part of your toolkit — governed by the ABA Model Rules and aligned with your business goals — you must position your firm not just to survive the AI wave, but to ride it. ⚖️🤖

Its been said many times by myself and others, lawyers must embrace AI into their practice of law or be left behind by those who do!