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

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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. 🎧⚖️

MTC: From Shingles to SEO to GEO: The History of Lawyer Advertising and the Ethics That Still Govern It

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From hanging a shingle to GEO-driven law firm visibility!

If you listen only to today’s marketing jargon, you might think lawyer advertising started with SEO (Search Engine Optimization) and ends with GEO—Generative Engine Optimization. In reality, the story begins with word of mouth, a wooden shingle, and a profession that worried about dignity long before anyone worried about keywords. The tools have changed repeatedly, but the ethical backbone has stayed remarkably consistent.

The ABA didn’t adopt the Model Rules of Professional Conduct until 1983, yet the core prohibitions we now see in Rules 7.1, 7.2, and 7.3—no false or misleading communications, limits on advertising, and restrictions on solicitation—simply codified principles that were already there. As we move from classic SEO into GEO, those same principles should still keep us grounded, especially for solos and small firms tempted to let AI do too much of the talking. 🤖

Before the Codes: Reputation and Norms

In the late 19th and early 20th centuries, there was no ABA Model Rule 7.1, no Model Code, and no national advertising standard. Lawyers built practices through referrals, courthouse reputations, civic involvement, and the quiet endorsements of former clients. Marketing was informal and relational, but that didn’t mean it was unregulated; courts and local bars still sanctioned dishonesty, fraud, and improper solicitation.

What we now call “communications concerning a lawyer’s services” was mostly face-to-face, but the expectation was already clear: do not lie, do not overreach, and do not exploit people at vulnerable moments. Those instincts would later become structured into the Canons, the Model Code, and ultimately the Model Rules.

1908–1969: Canons and the Shingle-to-Directory Transition

The ABA adopted the Canons of Professional Ethics in 1908, its first national ethics code, drawing heavily from an 1887 Alabama code and other local precedents. The Canons emphasized dignity, restraint, and loyalty to the client—not revenue at any cost. Advertising was generally discouraged, but basic identification (your name, that you were a lawyer, and where you could be found) was tolerated.

This is the era of “hanging a shingle”—literally putting up a sign that said you were an attorney—and later of simple listings in early directories and the White Pages. The shingle and the simple listing are analog ancestors of your Google Business Profile today: name, practice, contact information. 🪧 The message was informational, not boastful, which is exactly the line modern Rule 7.1 tries to maintain.

Yellow Pages and the Rise of Display Advertising

Lawyer advertising evolution: referrals, Yellow Pages, SEO, and GEO

As the telephone spread, lawyers moved from the White Pages into the Yellow Pages, and that’s where things changed. Yellow Pages display ads offered space for slogans, graphics, and bold type. By the late 20th century, they were one of the most important consumer marketing channels for lawyers, especially in personal injury, family law, and criminal defense.

During much of this period the profession was governed by the Model Code of Professional Responsibility (adopted in 1969), which carried forward the Canons’ skepticism of overt advertising. Some bars attempted to maintain near-blanket bans on lawyer ads, while others allowed limited, highly regulated Yellow Pages entries. The underlying concern, however, was familiar: Advertising that created unjustified expectations, promised results, or made unverifiable “best lawyer” claims was considered unethical—an early expression of what would become the Model Rule 7.1 prohibition on false or misleading communications.

Bates and the Birth of Modern Lawyer Advertising

Everything shifted in 1977 when the Supreme Court decided Bates v. State Bar of Arizona. The Court held that lawyer advertising is commercial speech protected by the First Amendment, striking down a state disciplinary rule that effectively banned ads by lawyers. The Court recognized that consumers need information about legal services and cannot evaluate lawyers if they are kept in the dark.

Bates did not remove ethical guardrails. It confirmed that states may still prohibit false, deceptive, or misleading advertising and may impose reasonable rules to protect the public. In modern terms, Bates opened the door to lawyer advertising but left the profession responsible for staying on the right side of truthfulness, clarity, and fair dealing.

1983–Present: Model Rules, the Web, and SEO

In 1983, the ABA replaced the Model Code with the Model Rules of Professional Conduct, which remain the baseline for state rules today. Three provisions matter most for marketing:

  • Model Rule 7.1 – A lawyer shall not make a false or misleading communication about the lawyer or the lawyer’s services.

  • Model Rule 7.2 – Lawyers may advertise through various media, subject to 7.1 and restrictions on paying for recommendations.

  • Model Rule 7.3 – Governs solicitation of clients, especially direct, real-time contact with people who may be vulnerable to undue influence.

When law firms began building websites in the 1990s and early 2000s, those sites were simply new “media” under Rule 7.2 and subject to the same truthfulness requirements as a print ad. As SEO emerged, lawyers learned to optimize pages for terms like “car accident lawyer” or “divorce attorney near me,” and local search became the new Yellow Pages.

The temptation, then as now, was to let the algorithm drive the ethics. Yet nothing in the Model Rules says “this doesn’t count if you’re trying to rank.” Every meta description, headline, and testimonial remains a communication about your services under 7.1.

Remember, your website is your biggest ethics footprint. If an SEO consultant suggests language you would never put in a sworn pleading, it probably doesn’t belong on your homepage either.

GEO: Generative Engine Optimization

Comparing classic law firm SEO with modern GEO AI answers

Fast-forward to 2026, and many law firm marketers are talking about GEO—Generative Engine Optimization. GEO focuses on making your content understandable and trustworthy to AI-driven answer engines (ChatGPT, Gemini, Perplexity, Bing Copilot, Google AI Overviews, and similar tools), not just to traditional search rankings.

Where SEO primarily asks, “How do I rank in the list?”, GEO asks, “When a prospective client asks a natural-language question, does an AI system understand my firm, recognize my authority, and cite my content accurately in its answer?” For law firms, GEO strategies generally include:

  • Structuring content around clear questions and answers clients actually ask

  • Strengthening entity profiles so AI can correctly associate attorneys, practice areas, and locations

  • Enhancing trust signals: consistent directory listings, complete bios, reviews, and citations from reputable sources

  • Updating content for depth, context, and semantic clarity so generative systems don’t misinterpret your guidanc

If that sounds like “SEO with better structure and more discipline,” you’re not wrong. GEO builds on strong traditional SEO, not replaces it.

Ethically, the message is straightforward: AI is just another channel. If your content is misleading, overbroad, or exaggerated, it does not become acceptable because it is being summarized by a generative engine instead of displayed as a blue link. Rule 7.1 applies regardless of whether a human or an AI is reading your copy.

GEO, AI Tools, and Model Rule Guardrails

For solos and small firms, GEO often intersects with increasing use of AI tools to draft or refine marketing content. That raises several recurring ethics touchpoints:

  • Truthful content (Rule 7.1): Any AI-assisted copy that inflates your experience, implies special certification you don’t actually hold, or hints at guaranteed outcomes violates the same rule as if you wrote it manually.

  • Supervision and review (Rules 5.1, 5.2, and 5.3): Ethics guidance on AI marketing emphasizes human review protocols: lawyers must review AI outputs for accuracy, tone, and compliance before publishing.

  • Solicitation concerns (Rule 7.3): If a GEO-driven workflow extends into chatbots, proactive outreach, or personalized sequences, you must ensure the system isn’t effectively engaging in real-time solicitation of individuals facing stress or duress.

GEO is powerful, but it’s not magic. It does not relieve you of the duty to understand the technology and to ensure that every public-facing statement about your services is accurate and appropriate for the audience.

The Through-Line: What Has Stayed the Same

Lawyer advertising evolution: referrals, Yellow Pages, SEO, and GEO

Once you understand the timeline—no Model Rules in 1890, no GEO in 2000—the continuity becomes obvious:

  • The codes changed; the core idea did not. From unwritten norms to the Canons, the Model Code, and the Model Rules, the message is consistent: tell the truth, don’t mislead, and respect client vulnerability.

  • Every new channel inherits the old duties. Yellow Pages, websites, SEO, AI answers, and GEO all fall under the same prohibitions on false or misleading communications and improper solicitation.

  • Technology amplifies both good and bad. Clear, helpful content that respects the rules will travel farther through generative systems; sloppy or overstated claims will too.

For tech-curious lawyers, the takeaway is simple: be excited about GEO, but not starstruck. ✨ Use it to structure better answers, not to stretch the truth. Let AI and generative engines distribute your expertise, not redefine your ethics.

MTC

BOLO: Microsoft Just Dropped Its Biggest Patch Tuesday Ever — Why Lawyers Must Update Windows Right Now! 🛡️

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Lawyers should up their Windows products now — protect your client data from cyber threats!

If you are a lawyer and your Windows machine is sitting there, unpatched, you are not just leaving your front door unlocked — you are handing a master key to anyone who wants it. On June 10, 2026, Microsoft released what security researchers are calling the largest Patch Tuesday in the company's history — fixing 206 to 211* security vulnerabilities across Windows, Office, SharePoint, Exchange, Defender, BitLocker, Azure, and more. That number is not a typo. The 12-month average for a typical Patch Tuesday hovers around 100 fixes. This month, Microsoft doubled it.

The Numbers That Should Get Your Attention 📊

Here is what landed in June 2026's update package:

  • 206–211* total vulnerabilities patched — the largest Patch Tuesday release ever recorded

  • 32–37* rated Critical — the most critical fixes in a single release, ever 54 Remote Code Execution (RCE) vulnerabilities — up from an average of ~26 per month 66 Elevation of Privilege vulnerabilities

  • 3 publicly disclosed zero-days — bad actors knew about these flaws before Microsoft patched them

  • 3 separate vulnerabilities rated CVSS 9.8 out of 10, all exploitable over the network with no user interaction required

Let those last four words sink in: no user interaction required. An attacker does not need you to click a phishing link or open a malicious attachment. They just need your machine to be reachable on a network — and your Windows installation to be unpatched.

The Vulnerabilities That Matter Most to Law Firms ⚠️

CVE-2026-47291 is a Critical RCE vulnerability in HTTP.sys rated CVSS 9.8, flagged "Exploitation More Likely," affecting all versions of Windows in mainstream support from Server 2016 through Windows 11. No privileges. No user interaction. Directly in the crosshairs: firms running web-facing client portals or remote desktop services. 🎯

CVE-2026-41091, affecting Microsoft Defender itself, is marked Exploitation Detected, Weaponized, and Publicly Aware . When your antivirus has a vulnerability that is already being actively weaponized in the wild, every hour you delay patching is an hour of unnecessary exposure.

CVE-2026-44815, a CVSS 9.8 RCE in the DHCP Client Service, and CVE-2026-50508, a Windows NTLM Spoofing vulnerability flagged "Exploitation More Likely," round out the priority list for law firms using Windows domain authentication.

The Secure Boot Factor: A Slower-Moving Risk 🔐

lawyers update your Windows security shield to block zero-day attacks on law firms!

Separate from the Patch Tuesday rush, June 2026 marks an important Secure Boot certificate transition. The certificates shipped inside Windows since 2011 are being replaced with new 2023-dated certificates valid until 2038. Microsoft is rolling these out through normal Windows Update, but some older devices need a BIOS firmware update from the manufacturer before the transition can complete. If your firm runs machines built before 2024, open Windows Security → Device Security → Secure Boot and verify the status text — not just the color. Microsoft warns that a green checkmark alone does not confirm the new certificates have been applied.

🚨This Is an Ethics Issue. Full Stop. ⚖️

ABA Model Rule 1.1 requires competent representation, and Comment 8 explicitly extends that duty to include "the benefits and risks associated with relevant technology”.  Staying abreast of a historic, record-breaking security release is not optional — it is the standard. ABA Model Rule 1.6 requires lawyers to make "reasonable efforts to prevent the inadvertent or unauthorized disclosure of, or unauthorized access to, information relating to the representation of a client". Running unpatched software on machines holding client files is almost certainly not "reasonable." Formal ethics opinions across multiple jurisdictions have made clear that annual technology assessment, patching, and investing in updated software versions are baseline expectations. ABA Model Rule 5.3 places the supervision obligation squarely on the supervising attorney — if you manage a firm and your IT vendor has not deployed these patches, that exposure lands on you.

The ABA now considers "reasonable cybersecurity" an ethical requirement under Rule 1.6. A record-breaking, 200+ vulnerability patch release is exactly the kind of event the ABA had in mind.

How to Update Right Now (Three Minutes or Less) ⏱️

You do not need IT for this:

be a Tech-savvy lawyer and secure your law firm’s networks with timely updates!

✅ Click Start → Settings (gear icon)

✅ Select Windows Update

✅ Click Check for Updates

✅ Download and install everything that appears

✅ Click Restart now when prompted

✅ Return to Windows Update and verify "You're up to date"

If you manage other attorneys or staff, send this post to them right now. Contact your IT vendor today and request written confirmation that June 2026 Patch Tuesday updates have been deployed across all firm devices.

The Bottom Line 🔑

This is the biggest patch release in Microsoft's history. It includes actively exploited vulnerabilities, three CVSS 9.8 flaws requiring no user interaction, and a Defender vulnerability already in the wild. For solo practitioners and small firms — statistically among the most targeted and least-defended organizations in the legal sector — this update is not background noise. It is a call to action. Be tech-savvy. Protect your clients. Protect your license. Update your machines. 💪

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

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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. 🎧⚖️

How to Use Google’s “AirDrop for Android” (Quick Share) in Your Law Practice 🔁📱

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* Image generated with google notebook llm

Lawyers, if your practice runs on a mix of iPhones, Android phones, and maybe a Chromebook or two, Google’s latest update to Quick Share—the Android equivalent of AirDrop—just made your day a lot easier. 💼📲 Google has expanded AirDrop‑compatible Quick Share support to a wider range of Android devices, including recent Samsung Galaxy, Google Pixel, and flagship models from HONOR, OnePlus, Xiaomi, OPPO, and Vivo.

For solo and small‑firm lawyers, this is more than a gadget story; it is a practical way to move client files securely between phones, tablets, and laptops without emailing yourself documents or juggling USB drives. Quick Share now lets compatible Android devices exchange files with Apple’s AirDrop, creating a true cross‑platform bridge. That means the associate on a Pixel can send a photo or PDF directly to the partner’s iPhone in seconds.

Below is a step‑by‑step guide to turning this new capability into a daily productivity tool that still respects your ethical duties under the ABA Model Rules.

1. What Exactly Did Google Change?

Quick Share started as Google and Samsung’s unified wireless sharing standard, replacing the older “Nearby Share” branding. At Consumer Electronics Show (CES) 2024, Google announced that Quick Share would become the default peer‑to‑peer sharing solution across Android and Chromebooks. In late 2025, Google went a step further and made Quick Share interoperable with Apple’s AirDrop, enabling two‑way file sharing between compatible Android devices and iPhones.

Now, Google is expanding that interoperability to a broader list of devices, including: recent Samsung S‑series phones (S24, S25, S26 lines and Z‑foldables), new Pixel models (8a, 9, 10 families), and flagship devices from HONOR, OnePlus, Xiaomi, OPPO, and Vivo. More support is on the way for newer foldables like Motorola Razr Fold 2026 and additional OPPO and HONOR models. If you or your staff have upgraded phones in the last year or two, there is a good chance you already have Quick Share—or will soon via an update.

From a security standpoint, Google says Quick Share uses direct peer‑to‑peer connections (not routed through Google servers) and does not log extra data about your transfers. That matters when you are thinking about confidentiality under Model Rule 1.6.

2. Check Whether Your Devices Support Quick Share

Before you design new workflows around this feature, verify that your devices are eligible. 🔍

On Android (for attorneys and staff using Android handsets):

  • Confirm device model: Check if you have one of the supported Samsung Galaxy S24/S25/S26 or Z‑series devices, a recent Pixel (8a, 9, 10 series), or listed flagships from HONOR, OnePlus, Xiaomi, OPPO, or Vivo.

  • Check for updates: Install the latest Android and Google Play system updates; Quick Share is rolling out via updates to devices that previously supported Nearby Share.

  • Look for “Quick Share”: In your Quick Settings shade or system sharing menu, look for a “Quick Share” option or icon.

On iPhone (for attorneys and staff in the Apple camp):

  • Make sure you are running a recent iOS version that supports the latest AirDrop enhancements.

  • In Settings → General → AirDrop, confirm AirDrop is enabled and decide who can send you items (Contacts Only, Everyone for 10 Minutes, etc.).

3. How to Send Files Between Android and iPhone Using Quick Share

Once you confirm compatibility, the actual workflow is refreshingly simple. ⚙️

On the Android device (sender):

  1. Open the item you want to send—a PDF of a brief, an image of a whiteboard from a strategy session, or a short video walkthrough for a client.

  2. Tap the system Share button.

  3. Choose Quick Share from the list of options.

  4. Let your phone scan for nearby devices. You should see the nearby iPhone as an available target when AirDrop is configured to accept transfers.

  5. Tap the iPhone, and accept the transfer on the iOS side. The file arrives in the appropriate app (e.g., Photos for images, Files for documents).

On the iPhone (sender) going to Android:

  1. Open the file, tap the Share sheet, then choose AirDrop.

  2. When a compatible Quick Share‑enabled Android device is nearby, it appears as a target.

  3. Tap the device name, and the Android user confirms receipt.

This is perfect for in‑person collaboration: passing a draft from your phone to a colleague’s device in a conference room, or sharing an exhibit photo to co‑counsel during a strategy session. It avoids the friction of email attachments, and it is far less clumsy than texting large files. 💡

4. Using Quick Share in Real‑World Law Practice Scenarios

Here are a few ways solo and small‑firm attorneys can turn this into real value:

  • Internal handoffs in the office: Capture a photo of a signed retainer or a handwritten note and send it directly from your Android to the firm’s iPhone‑based intake coordinator. ⚖️

  • Cross‑platform trial prep: Your trial tech might run on an Android tablet while you live on an iPhone. Quick Share lets you pass last‑minute demonstratives and call‑out graphics back and forth without cables.

  • On‑the‑go collaboration with co‑counsel: Meeting co‑counsel at court and you have the latest marked‑up PDF on your Pixel? You can send it directly to their iPhone via Quick Share/AirDrop in seconds.

  • Client education materials: In an in‑person meeting, you can hand a client a short “What Happens Next” explainer PDF and send it straight to their device, regardless of whether they are using Android or iOS.

5. Ethics, Confidentiality, and ABA Model Rules

Convenience is good; compliance is mandatory. ⚠️

Under ABA Model Rule 1.1 (Competence) and Comment 8, lawyers must keep abreast of the benefits and risks associated with relevant technology. Using Quick Share and AirDrop without understanding the privacy controls can be a competence issue, not a convenience issue.

Under Model Rule 1.6 (Confidentiality of Information), you must take reasonable steps to safeguard client information. With Quick Share and AirDrop, “reasonable steps” include:

  • Confirming you are sharing to the correct device name before sending.

  • Avoiding use of “Everyone” or “Everyone for 10 Minutes” AirDrop settings in crowded public spaces where unsolicited files could be sent or misdirected.

  • Reviewing whether client‑sensitive materials should be encrypted or confined to your secure document system, with Quick Share used only for lower‑risk items or internal use.

Model Rule 5.3 (Responsibilities Regarding Nonlawyer Assistance) also applies. If staff use their personal Android or iPhone devices, you must ensure that their use of Quick Share/AirDrop complies with your confidentiality and information‑security policies. A short, written BYOD policy describing when and how Quick Share/AirDrop may be used helps show that you exercised appropriate oversight.

Finally, Quick Share’s peer‑to‑peer design—avoiding server routing and additional logging—is helpful but not a substitute for firm policy. You still need to set expectations around device locking, lost phones, and remote‑wipe capabilities.

6. Practical Security Settings You Should Enable

To use this new capability responsibly, spend 10–15 minutes hardening your settings. 🔐

On Android:

  • Change Quick Share visibility to “Contacts” or “Hidden” by default unless you are in a trusted, controlled setting.

  • Require device unlock to accept incoming transfers where possible.

  • Tie your usage to secure apps: once a file arrives, move it into your document management system or encrypted storage rather than leaving it in a general Downloads folder.

On iPhone:

  • Set AirDrop to “Contacts Only” as your default; use “Everyone for 10 Minutes” only when necessary, in a controlled context.

  • Educate staff to decline unexpected AirDrop requests, especially in public.

Across both platforms, document this in a simple technology policy and training memo. That way, when your state bar issues an opinion on mobile file‑sharing, you are already ahead of the curve.

7. Roll This Out in Your Firm: A Simple Checklist

To wrap this into your practice, you can follow a straightforward rollout plan:

  1. Inventory devices: List who uses Android and who uses iPhone, and which models they have.

  2. Update everything: Make sure all phones have current OS and security updates, which often contain Quick Share/AirDrop enhancements.

  3. Set default privacy options: Configure AirDrop/Quick Share defaults as part of your firm’s mobile device setup checklist.

  4. Train your team: Hold a 30‑minute lunch‑and‑learn and physically walk through sending sample files between Android and iPhone devices.

  5. Define use cases: Decide what types of files are appropriate for direct device‑to‑device sharing and which must go through your DMS or secure client portal.

Follow The Tech‑Savvy Lawyer for more tips, important discussions, and insights on using technology to improve your services to your clients and recapture time for yourself while maintaining bar compliance!

MTC: When the Search Engine Itself Is the Ethical Issue: What Lawyers Must Know About AI Search vs. Traditional Internet Research

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AI Legal Search Transforms Modern Lawyer Research

There is a quiet revolution happening at the very top of your browser, and most lawyers haven't noticed it yet. 🔍

The search box — that deceptively simple rectangle you've used to research case law, check opposing counsel's background, or verify a client's claims — is no longer neutral ground. In May 2026, Google announced a sweeping AI-first reimagining of its search experience, complete with AI-generated answer summaries, "Search agents" that act on your behalf, and deep integrations with Gmail and Google Photos through what it calls "Personal Intelligence."

Almost immediately, something remarkable happened. Privacy-focused search engine DuckDuckGo reported that traffic to its "No AI" search option more than tripled in the days following Google's announcement. Visits averaged 84 percent above baseline — and climbing. Users are voting with their clicks, and lawyers should be paying close attention to why.

Because for attorneys, this isn't just a preference question. It is an ethics question. 🏛️

The Search Box Has Always Been a Legal Tool

Before we talk about AI search, let's be honest about something: lawyers have always used internet research in professionally complex ways. Whether you're doing due diligence on a new client, investigating facts before a deposition, or checking whether a potential expert witness has any embarrassing public statements, search engines are embedded in legal practice.

The ABA has taken note. ABA Model Rule 1.1 on Competence requires lawyers to keep abreast of "changes in the law and its practice, including the benefits and risks associated with relevant technology." The ABA's 2012 amendment to Comment 8 of that rule was, frankly, ahead of its time. Today, "relevant technology" includes the search engine itself — not just the results it returns.

The question lawyers must now ask is not just what a search engine finds. The question is how it finds it — and what it does to the information before it reaches your eyes. 👁️

What "AI Search" Actually Does — And Why It Matters for Lawyers

Google's new AI search doesn't just retrieve pages. It synthesizes, summarizes, and presents information as if it were a fact. The AI generates an "answer" at the top of the results, often without clearly displaying the sources behind it. It uses conversational follow-up prompts and can even tap into your personal data — your Gmail, your calendar, your search history — to "personalize" results through its Personal Intelligence features.

For a casual user looking up a dinner recipe, this may be delightful. For a lawyer performing professional research, this architecture introduces risks that are not hypothetical. They are disciplinary. ⚖️

Consider these practical scenarios:

  • Investigating a witness or opposing party: If AI search synthesizes social media profiles, news articles, and forum posts into a single summary, is the attorney seeing an accurate picture — or an AI-curated composite? Errors of omission matter enormously in litigation.

  • Researching local ordinances or regulations: AI-generated summaries have been documented to cite outdated legal authority or blend jurisdictions. A confident-sounding AI answer about a zoning statute may be silently wrong.

  • Client intake due diligence: If your search engine is pulling from your own Gmail history to "personalize" results, there are immediate questions about information separation and confidentiality walls.

This implicates ABA Model Rule 1.3 (Diligence), Rule 1.6 (Confidentiality), and — for litigators — the broader duty of candor under Rule 3.3. Relying on an AI-synthesized result without independent verification is not diligent research. It is relying on someone else's summary of someone else's sources. 🚩

The Competence Gap Nobody's Talking About

AI Case Summaries Enter the Modern Courtroom

Here is the nuance that most bar ethics opinions haven't caught up to yet: using AI search is not the same as using an AI legal research tool like Westlaw AI and Lexis+ AI. Those platforms are built on curated, citation-verified legal databases, with clear provenance for every source. General-purpose AI search like Google's new paradigm, Bing Copilot, Perplexity AI, is built on the open web, with all of the unreliability that implies.

When a lawyer asks Westlaw AI to find authority on a legal standard, the system is drawing from a professionally maintained legal corpus. When a lawyer asks Google's AI search, "What are the statute of limitations rules in Virginia for contract claims?" — the AI is generating a confident-sounding answer from whatever it found on the open internet, synthesized by a model that does not practice law and has no malpractice insurance. *Note that this does not mean you should not always check your AI work generated from legal-based websites, as they make mistakes too! ALWAYS CHECK YOUR WORK!!!

That distinction is not just academic. It is the difference between competent research and a disciplinary complaint. 📋

ABA Formal Opinion 512 (2023) addressed the use of generative AI tools broadly, emphasizing that attorneys bear full responsibility for the accuracy of AI-generated work product and may not "delegate" verification to a machine. The same logic extends directly to AI-generated search summaries. The attorney who reads an AI answer and relies on it without checking the underlying sources has not completed professional research. 

DuckDuckGo's "No AI" Option: A Signal Worth Heeding

The surge in DuckDuckGo's "No AI" search traffic is instructive for lawyers precisely because the users driving that surge aren't Luddites. They are professionals and technologists who understand the difference between AI-assisted search and raw, unmediated results.

DuckDuckGo's No AI search returns traditional link-based results without AI-generated answer overlays, without a chat interface, and with significantly fewer AI-generated images cluttering the results. For legal professionals performing factual investigation, that architecture has a significant advantage: what you see is a list of sources, not a synthesized narrative. You evaluate the sources. You apply legal judgment. The machine does not pre-filter reality for you.

Alternative privacy-first search engines like Kagi operate on a similar premise — paid, ad-free, with AI tools strictly opt-in. These are not fringe products. They are increasingly mature, professional-grade tools.

The point is not that lawyers must abandon Google. The point is that lawyers must understand what any given search tool is doing with their query and their results — and make a deliberate professional choice. 🎯

Confidentiality Implications Hiding in Plain Sight

Here's a dimension that deserves its own continuing legal education session: what happens to your search queries?

Google's Personal Intelligence features explicitly connect your search behavior to your Gmail, your Google Photos, and your account activity. For most users, this integration is a convenience. For lawyers, it is a potential Rule 1.6 problem.

If you are searching for information related to a client matter using a Google account connected to your professional email, you may be feeding client-related data into a system with its own data retention, analytics, and AI training policies. This is not speculation. It is the documented architecture of modern AI-integrated search.

The same risk applies to any AI search tool that logs, retains, or uses your queries for model training. Before using an AI search tool for client-related research, lawyers should review that platform's terms of service and privacy policy with the same scrutiny they'd apply to a cloud storage agreement.

A Practical Framework for the Ethically Conscious Lawyer

Here's what I recommend to every attorney I speak with — 🛠️

2. Verify every AI-generated summary. If an AI search tool gives you a synthesized answer, treat it as a lead, not a conclusion. Click through to primary sources. Confirm the date, jurisdiction, and accuracy of every material fact.

3. Audit your search tool's data practices. Before using any search engine — AI-powered or otherwise — for client-related research, understand what the platform does with your queries. Update your firm's privacy policy and client engagement letters accordingly.

4. Create a firm search policy. Solo practitioners and small firms alike benefit from a standard for how internet research is conducted, documented, and verified. Ideally it is written as it could be your first line of defense in a grievance proceeding.

5. Distinguish between research and investigation. When using internet research to investigate persons — clients, witnesses, opposing parties — remember that ABA Formal Opinion 466 addresses the ethical limits of reviewing publicly available juror social media. Similar caution applies to using AI-curated profiles of any individual.

The Bigger Picture 🌐

Tech-Savvy Lawyers Blend Tradition With Innovation

The DuckDuckGo story is not really about one search engine. It is about a profession — ours — navigating a moment when the most basic research infrastructure is being restructured around artificial intelligence, without a pause for professional reflection.

Lawyers are custodians of facts, advocates for truth, and officers of the court. The tools we use to find facts are not ethically neutral. They never were. But the gap between "good enough for a general user" and "professionally adequate for a licensed attorney" has never been wider.

The next time you open a browser tab to research something for a client, I want you to pause — just for a moment — and ask yourself: Do I know what this search engine is doing with my query right now? 🤔

If the answer is "I'm not sure," that pause just became an ethical obligation.

MTC.

🎙️ 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. 🚀 

🎙️ TSL Lab’s Deep Dive into Our May 18, 2027, editorial, “AI Won’t Replace Solo and Small Firm Lawyers. It Will Supercharge Them”!

/ The Tech-Savvy Lawyer.Page/

📌 Too Busy to Read Our May 18, 2026, Editorial?

Join us for an AI-powered deep dive into the ethical challenges facing legal professionals in the age of generative AI. 🤖 This week’s Tech-Savvy Lawyer Lab’s podcast unpacks my editorial, “AI Won’t Replace Solo and Small Firm Lawyers. It Will Supercharge Them,” and translates it into practical, ethics-aware guidance for solo and small firm professionals navigating AI in real time.

We explore why AI is unlikely to replace lawyers but highly likely to transform how legal work is unbundled, priced, and delivered. We walk through Jevons Paradox, ABA rules on competence, supervision, and confidentiality, and the very real risks of hallucinated filings and careless use of public AI tools. You will see how treating AI as a supervised junior associate can expand your capacity, open new micro‑niches, and make your practice more human-centered, not less. ⚖️

In our conversation, we cover the following:

  • 00:00:00 – Why “doom hype” around AI is targeting the legal profession and why the collapse-of-lawyers narrative falls apart in real life.

  • 00:01:00 – Introducing Michael D.J.’s editorial “AI Won’t Replace Solo and Small Firm Lawyers. It Will Supercharge Them.”

  • 00:02:00 – Setting ground rules: educational discussion only and why this episode is not legal advice.

  • 00:02:30 – Rethinking what a “job” really is and the idea that legal work is a bundle of tasks, not one monolithic activity.

  • 00:03:00 – Comparing big-firm specialization to the tightly packed bundle of tasks handled by solo and small-firm lawyers.

  • 00:03:30 – Why AI can pull on individual threads in that bundle, but cannot run the whole practice for you.

  • 00:04:00 – The solo master-chef metaphor: AI as the kitchen machine doing prep work while the human focuses on taste and judgment. 🍲🤖

  • 00:05:00 – How AI can draft preliminary summaries or case law lists while the lawyer still owns strategy and verification.

  • 00:05:30 – The “mental verification” problem: when typing and thinking used to be the same act for lawyers.

  • 00:06:00 – What changes when AI writes the first draft and why verification must become a separate, deliberate step.

  • 00:06:30 – The risk of hallucinated filings and viral stories of fake cases generated by AI. 😬

  • 00:07:00 – Data points showing the profession is adapting, not dying: more lawyers, more bar-required jobs, rising law school interest.

  • 00:07:30 – Revisiting the e‑discovery panic and predictions that predictive coding would wipe out junior associates.

  • 00:08:00 – How cheaper e‑discovery led to an explosion of data and actually increased demand for legal work.

  • 00:08:30 – Introducing Jevons Paradox and why greater efficiency can increase, not decrease, total demand.

  • 00:09:00 – The widened-highway analogy: more lanes, more traffic, and how that maps onto AI in law. 🛣️

  • 00:10:00 – How AI lets small firms tackle big, complex matters and offer more predictable flat-fee pricing.

  • 00:11:00 – Expanding access to legal services for the middle class and why cheaper legal work grows the market.

  • 00:11:30 – Turning to ethics: ABA Model Rule 1.1 on competence and the duty to understand relevant technology.

  • 00:12:00 – The solo’s burden: you are the IT department and the innovation committee, all at once. ☕💻

  • 00:12:30 – A practical definition of technological competence for solos and small firms.

  • 00:13:00 – Starting small with AI: summaries, first-draft emails, and extracting checklists from dense legislation.

  • 00:13:30 – AI as the “junior associate you don’t have to hire but must supervise” under Rules 5.1 and 5.3.

  • 00:14:00 – Why you remain responsible for AI’s output just as you would for a paralegal or junior lawyer.

  • 00:14:30 – The solo’s question: Does it really make sense to write a formal AI policy for just one person?

  • 00:15:00 – How a short written AI policy creates hard boundaries before you are stressed and rushed.

  • 00:15:30 – Defining approved uses, high‑review tasks, and absolute “no-go” zones for AI in your practice.

  • 00:16:00 – Model Rule 1.6 on confidentiality and the special risk solo and small firms face with cloud tools.

  • 00:16:30 – Why pasting sensitive client facts into a generic consumer chatbot is an ethical minefield.

  • 00:17:00 – How consumer AI tools tokenize your text and use it to train future models.

  • 00:17:30 – The “megaphone in a public square” analogy for pasting confidential data into public AI tools. 📣

  • 00:18:00 – Moving from megaphones to soundproof vaults: using enterprise modes or legal-specific platforms.

  • 00:18:30 – Why a single data breach can be existential for a solo firm and why clients should care about tool choices.

  • 00:19:00 – Legislative inflation: constant growth in complex rules, norms, and regulations across jurisdictions.

  • 00:19:30 – How AI helps solos track regulatory change, generate client alerts, and update templates in real time.

  • 00:20:00 – Carving out lucrative micro‑niches with AI, such as hyper‑specific regulatory domains.

  • 00:20:30 – Pairing niche expertise with SEO and content marketing so a solo can compete at scale.

  • 00:21:00 – The junior lawyer dilemma: what happens to entry-level training when AI eats the grunt work.

  • 00:21:30 – Why firms still need junior lawyers to build a future bench, not just to type memos.

  • 00:22:00 – What AI fundamentally cannot do: build trust in person, join community events, or create referral networks.

  • 00:22:30 – How automation pushes lawyers toward more human-centric, relationship-focused work. ❤️

  • 00:23:00 – The core conclusion: the real existential threat is the AI-literate competitor down the street, not the robot.

  • 00:23:30 – Treating AI as a supervised junior associate while protecting ethics, productivity, and client outcomes.

  • 00:24:00 – Final reflections: mapping your own “bundle of tasks” and deciding what to offload so you can supercharge yourself. ⚡

RESOURCES

Mentioned in the episode

👉 If this episode helps you think more clearly about AI, ethics, and your own “bundle of tasks,” share it with a colleague and subscribe so you never miss a future Tech-Savvy Lawyer deep dive. 🚀

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. 🌩🎙