MTC: Is Puerto Rico’s Professional Responsibility Rule 1.19 Really Necessary? A Technology Competence Perspective.

Is PR’s Rule 1.19 necessary?

The legal profession stands at a crossroads regarding technological competence requirements. With forty states already adopting Comment 8 to Model Rule 1.1, which mandates lawyers "keep abreast of changes in the law and its practice, including the benefits and risks associated with relevant technology," the question emerges: do we need additional rules like PR Rule 1.19?

Comment 8 to Rule 1.1 establishes clear parameters for technological competence. This amendment, adopted by the ABA in 2012, expanded the traditional duty of competence beyond legal knowledge to encompass technological proficiency. The Rule requires lawyers to understand the "benefits and risks associated with relevant technology" in their practice areas.

The existing framework appears comprehensive. Comment 8 already addresses core technological competencies, including e-discovery, cybersecurity, and client communication systems. Under Rule 1.1 (Comment 5), legal professionals must evaluate whether their technological skills meet "the standards of competent practitioners" without requiring additional regulatory layers.

However, implementation challenges persist. Many attorneys struggle with the vague standard of "relevant technology". The rule's elasticity means that competence requirements continuously evolve in response to technological advancements. Some jurisdictions, like Puerto Rico (see PR’s Supreme Court’s Order ER-2025-02 approving adoption of its full set of Rules of Professional Conduct, have created dedicated technology competence rules (Rule 1.19) to provide clearer guidance.

The verdict: redundancy without added value. Rather than creating overlapping rules, the legal profession should focus on robust implementation of existing Comment 8 requirements. Enhanced continuing legal education mandates, clearer interpretive guidance, and practical competency frameworks would better serve practitioners than additional regulatory complexity.

Technology competence is essential, but regulatory efficiency should guide our approach. 🚀

MTC: Why Courts Hesitate to Adopt AI - A Crisis of Trust in Legal Technology

Despite facing severe staffing shortages and mounting operational pressures, America's courts remain cautious about embracing artificial intelligence technologies that could provide significant relief. While 68% of state courts report staff shortages and 48% of court professionals lack sufficient time to complete their work, only 17% currently use generative AI tools. This cautious approach reflects deeper concerns about AI reliability, particularly in light of recent (and albeit unnecessarily continuing) high-profile errors by attorneys using AI-generated content in court documents.

The Growing Evidence of AI Failures in Legal Practice

Recent cases demonstrate why courts' hesitation may be justified. In Colorado, two attorneys representing MyPillow CEO Mike Lindell were fined $3,000 each after submitting a court filing containing nearly 30 AI-generated errors, including citations to nonexistent cases and misquoted legal authorities. The attorneys admitted to using artificial intelligence without properly verifying the output, violating Federal Rule of Civil Procedure 11.

Similarly, a federal judge in California sanctioned attorneys from Ellis George LLP and K&L Gates LLP $31,000 after they submitted briefs containing fabricated citations generated by AI tools including CoCounsel, Westlaw Precision, and Google Gemini. The attorneys had used AI to create an outline that was shared with colleagues who incorporated the fabricated authorities into their final brief without verification.

These incidents are part of a broader pattern of AI hallucinations in legal documents. The June 16, 2025, Order to Show Cause from the Oregon federal court case Sullivan v. Wisnovsky, No. 1:21-cv-00157-CL, D. Or. (June 16, 2025) demonstrates another instance where plaintiffs cited "fifteen non-existent cases and misrepresented quotations from seven real cases" after relying on what they claimed was "an automated legal citation tool". The court found this explanation insufficient to avoid sanctions.

The Operational Dilemma Facing Courts

LAWYERS NEED TO BalancE Legal Tradition with Ethical AI Innovation

The irony is stark: courts desperately need technological solutions to address their operational challenges, yet recent AI failures have reinforced their cautious approach. Court professionals predict that generative AI could save them an average of three hours per week initially, growing to nearly nine hours within five years. These time savings could be transformative for courts struggling with increased caseloads and staff shortages.

However, the profession's experience with AI-generated hallucinations has created significant trust issues. Currently, 70% of courts prohibit employees from using AI-based tools for court business, and 75% have not provided any AI training to their staff. This reluctance stems from legitimate concerns about accuracy, bias, and the potential for AI to undermine the integrity of judicial proceedings.

The Technology Adoption Paradox

Courts have successfully adopted other technologies, with 86% implementing case management systems, 85% using e-filing, and 88% conducting virtual hearings. This suggests that courts are not inherently resistant to technology. But they are specifically cautious about AI due to its propensity for generating false information.

The legal profession's relationship with AI reflects broader challenges in implementing emerging technologies. While 55% of court professionals recognize AI as having transformational potential over the next five years, the gap between recognition and adoption remains significant. This disconnect highlights the need for more reliable AI systems and better training for legal professionals.

The Path Forward: Measured Implementation

The solution is not to abandon AI but to implement it more carefully. Legal professionals must develop better verification protocols. As one expert noted, "AI verification isn't optional—it's a professional obligation." This means implementing systematic citation checking, mandatory human review, and clear documentation of AI use in legal documents. Lawyers must stay up to date on the technology available to them, as required by the American Bar Association Model Rule of Professional Conduct 1.1[8], including the expectation that they use the best available technology currently accessible. Thus, courts too need comprehensive governance frameworks that address data handling, disclosure requirements, and decision-making oversight before evaluating AI tools. The American Bar Association's Formal Opinion 512 on Generative Artificial Intelligence Tools provides essential guidance, emphasizing that lawyers must fully consider their ethical obligations when using AI.

Final Thoughts

THE Future of Law: AI and Justice in Harmony!

Despite the risks, courts and legal professionals cannot afford to ignore AI indefinitely. The technology's potential to address staffing shortages, reduce administrative burdens, and improve access to justice makes it essential for the future of the legal system. However, successful implementation requires acknowledging AI's limitations while developing robust safeguards to prevent the types of errors that have already damaged trust in the technology.

The current hesitation reflects a profession learning to balance innovation with reliability. As AI systems improve and legal professionals develop better practices for using them, courts will likely become more willing to embrace these tools. Until then, the cautious approach may be prudent, even if it means forgoing potential efficiency gains.

The legal profession's experience with AI serves as a reminder that technological adoption in critical systems requires more than just recognizing potential benefits—it demands building the infrastructure, training, and governance necessary to use these powerful tools responsibly.

MTC

MTC: AI Hallucinated Cases Are Now Shaping Court Decisions - What Every Lawyer, Legal Professional and Judge Must Know in 2025!

AL Hallucinated cases are now shaping court decisions - what every lawyer and judge needs to know in 2025.

Artificial intelligence has transformed legal research, but a threat is emerging from chambers: hallucinated case law. On June 30, 2025, the Georgia Court of Appeals delivered a landmark ruling in Shahid v. Esaam that should serve as a wake-up call to every member of the legal profession: AI hallucinations are no longer just embarrassing mistakes—they are actively influencing court decisions and undermining the integrity of our judicial system.

The Georgia Court of Appeals Ruling: A Watershed Moment

The Shahid v. Esaam decision represents the first documented case where a trial court's order was based entirely on non-existent case law, likely generated by AI tools. The Georgia Court of Appeals found that the trial court's order denying a motion to reopen a divorce case relied upon two fictitious cases, and the appellee's brief contained an astounding 11 bogus citations out of 15 total citations. The court imposed a $2,500 penalty on attorney Diana Lynch—the maximum allowed under GA Court of Appeals Rule 7(e)(2)—and vacated the trial court's order entirely.

What makes this case particularly alarming is not just the volume of fabricated citations, but the fact that these AI-generated hallucinations were adopted wholesale without verification by the trial court. The court specifically referenced Chief Justice John Roberts' 2023 warning that "any use of AI requires caution and humility".

The Explosive Growth of AI Hallucination Cases

The Shahid case is far from isolated. Legal researcher Damien Charlotin has compiled a comprehensive database tracking over 120 cases worldwide where courts have identified AI-generated hallucinations in legal filings. The data reveals an alarming acceleration: while there were only 10 cases documented in 2023, that number jumped to 37 in 2024, and an astounding 73 cases have already been reported in just the first five months of 2025.

Perhaps most concerning is the shift in responsibility. In 2023, seven out of ten cases involving hallucinations were made by pro se litigants, with only three attributed to lawyers. However, by May 2025, legal professionals were found to be at fault in at least 13 of 23 cases where AI errors were discovered. This trend indicates that trained attorneys—who should know better—are increasingly falling victim to AI's deceptive capabilities.

High-Profile Cases and Escalating Sanctions

Always check your research - you don’t want to get in trouble with your client, the judge or the bar!

The crisis has intensified with high-profile sanctions. In May 2025, a special master in California imposed a staggering $31,100 sanction against law firms K&L Gates and Ellis George for what was termed a "collective debacle" involving AI-generated research4. The case involved attorneys who used multiple AI tools including CoCounsel, Westlaw Precision, and Google Gemini to generate a brief, with approximately nine of the 27 legal citations proving to be incorrect.

Even more concerning was the February 2025 case involving Morgan & Morgan—the largest personal injury firm in the United States—where attorneys were sanctioned for a motion citing eight nonexistent cases. The firm subsequently issued an urgent warning to its more than 1,000 lawyers that using fabricated AI information could result in termination.

The Tech-Savvy Lawyer.Page: Years of Warnings

The risks of AI hallucinations in legal practice have been extensively documented by experts in legal technology. I’ve been sounding the alarm at The Tech-Savvy Lawyer.Page Blog and Podcast about these issues for years. In a blog post titled "Why Are Lawyers Still Failing at AI Legal Research? The Alarming Rise of AI Hallucinations in Courtrooms," the editorial detailed how even advanced legal AI platforms can generate plausible but fake authorities.

My comprehensive coverage has included reviews of specific platforms, such as the November 2024 analysis "Lexis+ AI™️ Falls Short for Legal Research," which documented how even purpose-built legal AI tools can cite non-existent legislation. The platform's consistent message has been clear: AI is a collaborator, not an infallible expert.

International Recognition of the Crisis

The problem has gained international attention, with the London High Court issuing a stark warning in June 2025 that attorneys who use AI to cite non-existent cases could face contempt of court charges or even criminal prosecution. Justice Victoria Sharp warned that "in the most severe instances, intentionally submitting false information to the court with the aim of obstructing the course of justice constitutes the common law criminal offense of perverting the course of justice".

The Path Forward: Critical Safeguards

Based on extensive research and mounting evidence, several key recommendations emerge for legal professionals:

For Individual Lawyers:

Lawyers need to be diligent and make sure their case citations are not only accurate but real!

• Never use general-purpose AI tools like ChatGPT for legal research without extensive verification

• Implement mandatory verification protocols for all AI-generated content

• Obtain specialized training on AI limitations and best practices

• Consider using only specialized legal AI platforms with built-in verification mechanisms

For Courts:

• Implement consistent disclosure requirements for AI use in court filings

• Develop verification procedures for detecting potential AI hallucinations

• Provide training for judges and court staff on AI technology recognition

FINAL THOUGHTS

The legal profession is at a crossroads. AI can enhance efficiency, but unchecked use can undermine the integrity of the justice system. The solution is not to abandon AI, but to use it wisely with appropriate oversight and verification. The warnings from The Tech-Savvy Lawyer.Page and other experts have proven prescient—the question now is whether the profession will heed these warnings before the crisis deepens further.

MTC

Happy Lawyering!

MTC: AI and Legal Research: The Existential Threat to Lexis, Westlaw, and Fastcase.

How does this ruling for anthropic change the business models legal information providers operate under?

MTC: The legal profession faces unprecedented disruption as artificial intelligence reshapes how attorneys access and analyze legal information. A landmark federal ruling combined with mounting evidence of AI's devastating impact on content providers signals an existential crisis for traditional legal databases.

The Anthropic Breakthrough

Judge William Alsup's June 25, 2025 ruling in Bartz v. Anthropic fundamentally changed the AI landscape. The court found that training large language models on legally acquired copyrighted books constitutes "exceedingly transformative" fair use under copyright law. This decision provides crucial legal clarity for AI companies, effectively creating a roadmap for developing sophisticated legal AI tools using legitimately purchased content.

The ruling draws a clear distinction: while training on legally acquired materials is permissible, downloading pirated content remains copyright infringement. This clarity removes a significant barrier that had constrained AI development in the legal sector.

Google's AI Devastates Publishers: A Warning for Legal Databases

The news industry's experience with Google's AI features provides a sobering preview of what awaits legal databases. Traffic to the world's 500 most visited publishers has plummeted 27% year-over-year since February 2024, losing an average of 64 million visits per month. Google's AI Overviews and AI Mode have created what industry experts call "zero-click searches," where users receive information without visiting original sources.

The New York Times saw its share of organic search traffic fall from 44% in 2022 to just 36.5% in April 2025. Business Insider experienced devastating 55% traffic declines and subsequently laid off 21% of its workforce. Major outlets like HuffPost and The Washington Post have lost more than half their search traffic.

This pattern directly threatens legal databases operating on similar information-access models. If AI tools can synthesize legal information from multiple sources without requiring expensive database subscriptions, the fundamental value proposition of Lexis, WestLaw, and Fastcase erodes dramatically.

The Rise of Vincent AI and Legal Database Alternatives

The threat is no longer theoretical. Vincent AI, integrated into vLex Fastcase, represents the emergence of sophisticated legal AI that challenges traditional database dominance. The platform offers comprehensive legal research across 50 states and 17 countries, with capabilities including contract analysis, argument building, and multi-jurisdictional comparisons—all often available free through bar association memberships.

Vincent AI recently won the 2024 New Product Award from the American Association of Law Libraries. The platform leverages vLex's database of over one billion legal documents, providing multimodal capabilities that can analyze audio and video files while generating transcripts of court proceedings. Unlike traditional databases that added AI as supplementary features, Vincent AI integrates artificial intelligence throughout its core functionality.

Stanford University studies reveal the current performance gaps: Lexis+ AI achieved 65% accuracy with 17% hallucination rates, while Westlaw's AI-Assisted Research managed only 42% accuracy with 33% hallucination rates. However, AI systems improve rapidly, and these quality gaps are narrowing.

Economic Pressures Intensify

Can traditional legal resources protect their proprietary information from AI?

Goldman Sachs research indicates 44% of legal work could be automated by emerging AI tools, targeting exactly the functions that justify expensive database subscriptions. The legal research market, worth $68 billion globally, faces dramatic cost disruption as AI platforms provide similar capabilities at fractions of traditional pricing.

The democratization effect is already visible. Vincent AI's availability through over 80 bar associations provides enterprise-level capabilities to solo practitioners and small firms previously unable to afford comprehensive legal research tools. This accessibility threatens the pricing power that has sustained traditional legal database business models.

The Information Ecosystem Transformation

The parallel between news publishers and legal databases extends beyond surface similarities. Both industries built their success on controlling access to information and charging premium prices for that access. AI fundamentally challenges this model by providing synthesized information that reduces the need to visit original sources.

AI chatbots have provided only 5.5 million additional referrals per month to publishers, a fraction of the 64 million monthly visits lost to AI-powered search features. This stark imbalance demonstrates that AI tools are net destroyers of traffic to content providers—a dynamic that threatens any business model dependent on information access.

Publishers describe feeling "betrayed" by Google's shift toward AI-powered search results that keep users within Google's ecosystem rather than sending them to external sites. Legal databases face identical risks as AI tools become more capable of providing comprehensive legal analysis without requiring expensive subscriptions.

Quality and Professional Responsibility Challenges

Despite AI's advancing capabilities, significant concerns remain around accuracy and professional responsibility. Legal practice demands extremely high reliability standards, and current AI tools still produce errors that could have serious professional consequences. Several high-profile cases involving lawyers submitting AI-generated briefs with fabricated case citations have heightened awareness of these risks.

However, platforms like Vincent AI address many concerns through transparent citation practices and hybrid AI pipelines that combine generative and rules-based AI to increase reliability. The platform provides direct links to primary legal sources and employs expert legal editors to track judicial treatment and citations.

Adaptation Strategies and Market Response

Is AI the beginning for the end of Traditional legal resources?

Traditional legal database providers have begun integrating AI capabilities, but this strategy faces inherent limitations. By incorporating AI into existing platforms, these companies risk commoditizing their own products. If AI can provide similar insights using publicly available information, proprietary databases lose their exclusivity advantage regardless of AI integration.

The more fundamental challenge is that AI's disruptive potential extends beyond individual products to entire business models. The emergence of comprehensive AI platforms like Vincent AI demonstrates this disruption is already underway and accelerating.

Looking Forward: Scenarios and Implications

Several scenarios could emerge from this convergence of technological and economic pressures. Traditional databases might successfully maintain market position through superior curation and reliability, though the news industry's experience suggests this is challenging without fundamental business model changes.

Alternatively, AI-powered platforms could continue gaining market share by providing comparable functionality at significantly lower costs, forcing traditional providers to dramatically reduce prices or lose market share. The rapid adoption of vLex Fastcase by bar associations suggests this disruption is already underway.

A hybrid market might develop where different tools serve different needs, though economic pressures favor comprehensive, cost-effective solutions over specialized, expensive ones.

Preparing for Transformation

The confluence of the Anthropic ruling, advancing AI capabilities, evidence from news industry disruption, and sophisticated legal AI platforms creates a perfect storm for the legal information industry. Legal professionals must develop AI literacy while implementing robust quality control processes and maintaining ethical obligations.

For legal database providers, the challenge is existential. The news industry's experience shows traffic declines of 50% or more would be catastrophic for subscription-dependent businesses. The rapid development of comprehensive AI legal research platforms suggests this disruption may occur faster than traditional providers anticipate.

The legal profession's relationship with information is fundamentally changing. The Anthropic ruling removed barriers to AI development, news industry data shows the potential scale of disruption, and platforms like Vincent AI demonstrate achievable sophistication. The race is now on to determine who will control the future of legal information access.

MTC

MTC: Lawyers, Generative AI, and the Right to Privacy: Navigating Ethics, Client Confidentiality, and Public Data in the Digital Age

Modern attorneys need to tackle AI ethics and privacy risks.

The legal profession stands at a critical crossroads as generative AI tools like ChatGPT become increasingly integrated into daily practice. While these technologies offer unprecedented efficiency and insight, they also raise urgent questions about client privacy, data security, and professional ethics—questions that every lawyer, regardless of technical proficiency, must confront.

Recent developments have brought these issues into sharp focus. OpenAI, the company behind ChatGPT, was recently compelled to preserve all user chats for legal review, highlighting how data entered into generative AI systems can be stored, accessed, and potentially scrutinized by third parties. For lawyers, this is not a theoretical risk; it is a direct challenge to the core obligations of client confidentiality and the right to privacy.

The ABA Model Rules and Generative AI

The American Bar Association’s Model Rules of Professional Conduct are clear: Rule 1.6 requires lawyers to “act competently to safeguard information relating to the representation of a client against unauthorized access by third parties and against inadvertent or unauthorized disclosure”. This duty extends beyond existing clients to former and prospective clients under Rules 1.9 and 1.18. Crucially, the obligation applies even to information that is publicly accessible or contained in public records, unless disclosure is authorized or consented to by the client.

Attorneys need to explain generative AI privacy concerns to client.

The ABA’s recent Formal Opinion 512 underscores these concerns in the context of generative AI. Lawyers must fully consider their ethical obligations, including competence, confidentiality, informed consent, and reasonable fees when using AI tools. Notably, the opinion warns that boilerplate consent in engagement letters is not sufficient; clients must be properly informed about how their data may be used and stored by AI systems.

Risks of Generative AI: PII, Case Details, and Public Data

Generative AI tools, especially those that are self-learning, can retain and reuse input data, including Personally Identifiable Information (PII) and case-specific details. This creates a risk that confidential information could be inadvertently disclosed or cross-used in other cases, even within a closed firm system. In March 2023, a ChatGPT data leak allowed users to view chat histories of others, illustrating the real-world dangers of data exposure.

Moreover, lawyers may be tempted to use client public data—such as court filings or news reports—in AI-powered research or drafting. However, ABA guidance and multiple ethics opinions make it clear: confidentiality obligations apply even to information that is “generally known” or publicly accessible, unless the client has given informed consent or an exception applies. The act of further publicizing such data, especially through AI tools that may store and process it, can itself breach confidentiality.

Practical Guidance for the Tech-Savvy (and Not-So-Savvy) Lawyer

Lawyers can face disciplinary hearing over unethical use of generative AI.

The Tech-Savvy Lawyer.Page Podcast Episode 99, “Navigating the Intersection of Law Ethics and Technology with Jayne Reardon and other The Tech-Savvy Lawyer.Page postings offer practical insights for lawyers with limited to moderate tech skills. The message is clear: lawyers must be strategic, not just enthusiastic, about legal tech adoption. This means:

• Vetting AI Tools: Choose AI platforms with robust privacy protections, clear data handling policies, and transparent security measures.

• Obtaining Informed Consent: Clearly explain to clients how their information may be used, stored, or processed by AI systems—especially if public data or PII is involved.

• Limiting Data Input: Avoid entering sensitive client details, PII, or case specifics into generative AI tools unless absolutely necessary and with explicit client consent.

• Monitoring for Updates: Stay informed about evolving ABA guidance, state bar opinions, and the technical capabilities of AI tools.

• Training and Policies: Invest in ongoing education and firm-wide policies to ensure all staff understand the risks and responsibilities associated with AI use.

Conclusion

The promise of generative AI in law is real, but so are the risks. As OpenAI’s recent legal challenges and the ABA’s evolving guidance make clear, lawyers must prioritize privacy, confidentiality, and ethics at every step. By embracing technology with caution, transparency, and respect for client rights, legal professionals can harness AI’s benefits without compromising the foundational trust at the heart of the attorney-client relationship.

MTC

MTC: Florida Bar's Proposed Listserv Rule: A Digital Wake-Up Call for Legal Professionals.

not just Florida Lawyers should be reacting to New Listserv Ethics Rules!

The Florida Bar's proposed Advisory Opinion 25-1 regarding lawyers' use of listservs represents a crucial moment for legal professionals navigating the digital landscape. This proposed guidance should serve as a comprehensive reminder about the critical importance of maintaining client confidentiality in our increasingly connected professional world.

The Heart of the Matter: Confidentiality in Digital Spaces 💻

The Florida Bar's Professional Ethics Committee has recognized that online legal discussion groups and peer-to-peer listservs provide invaluable resources for practitioners. These platforms facilitate contact with experienced professionals and offer quick feedback on legal developments. However, the proposed opinion emphasizes that lawyers participating in listservs must comply with Rule 4-1.6 of the Rules Regulating The Florida Bar.

The proposed guidance builds upon the American Bar Association's Formal Opinion 511, issued in 2024, which prohibits lawyers from posting questions or comments relating to client representations without informed consent if there's a reasonable likelihood that client identity could be inferred. This nationwide trend reflects growing awareness of digital confidentiality challenges facing modern legal practitioners.

National Landscape of Ethics Opinions 📋

🚨 BOLO: florida is not the only state that has rules related to lawyers discussing cases online!

The Florida Bar's approach aligns with a broader national movement addressing lawyer ethics in digital communications. Multiple jurisdictions have issued similar guidance over the past two decades. Maryland's Ethics Opinion 2015-03 established that hypotheticals are permissible only when there's no likelihood of client identification. Illinois Ethics Opinion 12-15 permits listserv guidance without client consent only when inquiries won't reveal client identity.

Technology Competence and Professional Responsibility 🎯

I regularly addresses these evolving challenges for legal professionals. As noted in many of The Tech-Savvy Lawyer.Page Podcast's discussions, lawyers must now understand both the benefits and risks of relevant technology under ABA Model Rule 1.1 Comment 8. Twenty-seven states have adopted revised versions of this comment, making technological competence an ethical obligation.

The proposed Florida rule reflects this broader trend toward requiring lawyers to understand their digital tools. Comment 8 to Rule 1.1 advises lawyers to "keep abreast of changes in the law and its practice," including technological developments. This requirement extends beyond simple familiarity to encompass understanding how technology impacts client confidentiality.

Practical Implications for Legal Practice 🔧

The proposed advisory opinion provides practical guidance for lawyers who regularly participate in professional listservs. Prior informed consent is recommended when there's reasonable possibility that clients could be identified through posted content or the posting lawyer's identit1. Without such consent, posts should remain general and abstract to avoid exposing unnecessary information.

The guidance particularly affects in-house counsel and government lawyers who represent single clients, as their client identities would be obvious in any posted questions. These practitioners face heightened scrutiny when participating in online professional discussions.

Final Thoughts: Best Practices for Digital Ethics ✅

Florida lawyers need to know their state rules before discussing cases online!

Legal professionals should view the Florida Bar's proposed guidance as an opportunity to enhance their digital practice management. The rule encourages lawyers to obtain informed consent at representation's outset when they anticipate using listservs for client benefit. This proactive approach can be memorialized in engagement agreements.

The proposed opinion also reinforces the fundamental principle that uncertainty should be resolved in favor of nondisclosure. This conservative approach protects both client interests and lawyer professional standing in our digitally connected legal ecosystem.

The Florida Bar's proposed Advisory Opinion 25-1 represents more than regulatory housekeeping. It provides essential guidance for legal professionals navigating increasingly complex digital communication landscapes while maintaining the highest ethical standards our profession demands.

MTC

🚨 MTC: “Breaking News” Supreme Court DOGE Ruling - Critical Privacy Warnings for Legal Professionals After Social Security Data Access Approval!

Recent supreme court ruling may have placed every american’s pii at risk!

Supreme Court DOGE Ruling: Critical Privacy Warnings for Legal Professionals After Social Security Data Access Approval

Last Friday's Supreme Court ruling represents a watershed moment for data privacy in America. The Court's decision to allow the Department of Government Efficiency (DOGE) unprecedented access to Social Security Administration (SSA) databases containing millions of Americans' personal information creates immediate and serious risks for legal professionals and their clients.

The Ruling's Immediate Impact 📊

The Supreme Court's 6-3 decision lifted lower court injunctions that had previously restricted DOGE's access to sensitive SSA systems. Justice Ketanji Brown Jackson's dissent warned that this ruling "creates grave privacy risks for millions of Americans". The majority allowed DOGE to proceed with accessing agency records containing Social Security numbers, medical histories, banking information, and employment data.

This decision affects far more than government efficiency initiatives. Legal professionals must understand that their personal information, along with that of their clients and the general public, now sits in systems accessible to a newly-created department with limited oversight.

Understanding the Privacy Act Framework ⚖️

The Privacy Act of 1974 was designed to prevent exactly this type of unauthorized data sharing. The law requires federal agencies to maintain strict controls over personally identifiable information (PII) and prohibits disclosure without written consent. However, DOGE appears to operate in a regulatory gray area that sidesteps these protections.

Legal professionals should recognize that this ruling effectively undermines decades of privacy protections. The same safeguards that protect attorney-client privilege and confidential case information may no longer provide adequate security.

Specific Risks for Legal Professionals 🎯

your clients are not Alone Against the Algorithm!

Attorney Personal Information Exposure

Your personal data held by the SSA includes tax information, employment history, and financial records. This information can be used for identity theft, targeted phishing attacks, or professional blackmail. Cybercriminals regularly sell such data on dark web marketplaces for $10 to $1,000 per record.

Client Information Vulnerabilities

Clients' SSA data exposure creates attorney liability issues. If client information becomes publicly available through data breaches or dark web sales, attorneys may face malpractice claims for failing to anticipate these risks. The American Bar Association's Rule 1.6 requires lawyers to make "reasonable efforts" to protect client information.

Professional Practice Threats

Law firms already face significant cybersecurity challenges, with 29% reporting security breaches. The DOGE ruling amplifies these risks by creating new attack vectors. Hackers specifically target legal professionals because they handle sensitive information with often inadequate security measures.

Technical Safeguards Legal Professionals Must Implement 🔐

Immediate Action Items

Encrypt all client communications and files using end-to-end encryption. Deploy multi-factor authentication across all systems. Implement comprehensive backup strategies with offline storage capabilities.

Advanced Protection Measures

Conduct regular security audits and penetration testing. Establish data minimization policies to reduce PII exposure. Create incident response plans for potential breaches.

Communication Security

Use secure messaging platforms like Signal or WhatsApp for sensitive discussions. Implement email encryption services for all client correspondence. Establish secure file-sharing protocols for case documents.

Dark Web Monitoring and Response 🕵️

Cyber Defense Starts with the help of lawyers!

Legal professionals must understand how stolen data moves through criminal networks. Cybercriminals sell comprehensive identity packages on dark web marketplaces, often including professional information that can damage reputations. Personal data from government databases frequently appears on these platforms within months of breaches.

Firms should implement dark web monitoring services to detect when attorney or client information appears for sale. Early detection allows for rapid response measures, including credit monitoring and identity theft protection.

Compliance Considerations 📋

State Notification Requirements

Many states require attorneys to notify clients and attorneys general when data breaches occur. Maryland requires notification within 45 days. Virginia mandates immediate reporting for taxpayer identification number breaches. These requirements apply regardless of whether the breach originated from government database access.

Professional Responsibility

The ABA's Model Rules require attorneys to stay current with technology risks. See Model Rule 1.1:Comment 8.  These rules creates new obligations to assess and address government data access risks. Attorneys must evaluate whether current security measures remain adequate given expanded government database access.

Recommendations for Legal Technology Implementation 💻

Essential Security Tools

Deploy endpoint detection and response software on all devices. Use virtual private networks (VPNs) for all internet communications. Implement zero-trust network architectures where feasible.

Client Communication Protocols

Establish clear policies for discussing sensitive matters electronically. Create secure client portals for document exchange. Develop protocols for emergency communication during security incidents.

Staff Training Programs

Conduct regular cybersecurity training for all personnel. Focus on recognizing phishing attempts and social engineering. Establish clear protocols for reporting suspicious activities.

Looking Forward: Preparing for Continued Risks 🔮

Cyber Defense Starts BEFORE YOU GO TO Court.

The DOGE ruling likely represents the beginning of expanded government data access rather than an isolated incident. Legal professionals must prepare for an environment where traditional privacy protections may no longer apply.

Consider obtaining cybersecurity insurance specifically covering government data breach scenarios. Evaluate whether current malpractice insurance covers privacy-related claims. Develop relationships with cybersecurity professionals who understand legal industry requirements.

Final Thoughts: Acting Now to Protect Your Practice 🛡️

The Supreme Court's DOGE ruling fundamentally changes the privacy landscape for legal professionals. Attorneys can no longer assume that government-held data remains secure or private. The legal profession must adapt quickly to protect both professional practices and client interests.

This ruling demands immediate action from every legal professional. The cost of inaction far exceeds the investment in proper cybersecurity measures. Your clients trust you with their most sensitive information. That trust now requires unprecedented vigilance in our digital age.

MTC

MTC: Law Firm Technology Procurement Strategy During Trade Court Tariff Chaos: Buy Now or Wait?

Tariff chaos continues with recent ruling by US Court of International trade creating confusion for lawyers on how to address their office tech needs!

The recent ruling by the US Court of International Trade has thrown technology procurement strategies for law firms into unprecedented uncertainty. Legal practitioners nationwide face a critical decision that could significantly impact their operational costs and technological capabilities for years to come.

On May 28, 2025, a three-judge panel at the US Court of International Trade delivered a landmark decision that struck down President Trump's sweeping tariff regime, ruling that the administration exceeded its constitutional authority by implementing global import duties under emergency powers legislation. The court determined that the International Emergency Economic Powers Act (IEEPA) does not grant the president unlimited authority to impose tariffs unilaterally, particularly the 30% tariffs on Chinese goods, 25% tariffs on certain imports from Mexico and Canada, and 10% universal tariffs on most other goods.

However, the victory for importers and businesses proved short-lived. The Trump administration immediately appealed the decision, and the Federal Circuit Court granted an emergency stay, allowing tariff collection to continue pending further legal proceedings. This legal ping-pong effect has created exactly the type of market uncertainty that makes technology procurement decisions particularly challenging for law firms.

The Technology Dilemma Facing Legal Practitioners

The smartphone and computer hardware that law firms depend on daily face significant price pressures under the current tariff regime. Industry analysts predict smartphone prices could increase by 4% in the US market due to tariff uncertainty. More dramatically, experts suggest that forcing iPhone production to move entirely to the United States could result in device prices reaching $3,500, several times the current prices. While such extreme scenarios may not materialize, the underlying message is clear: technology costs are likely to increase substantially if current trade policies persist.

For law firms, this creates a fundamental procurement dilemma. Should practices accelerate their hardware refresh cycles to avoid potential price increases? Or should they maintain their normal procurement schedules and hope that legal challenges will ultimately overturn the tariffs?

Understanding the Current Legal Landscape

lawyers struggle to balance timing of future tech purchases with the uncertainty the tariffs have created1

The Court of International Trade's ruling provides important guidance for understanding the likely trajectory of these trade policies. The judges specifically noted that tariffs designed to address drug trafficking and immigration issues fail to establish a clear connection between the emergency declared and the remedy implemented. The court emphasized that “…the collection of tariffs on lawful imports does not clearly relate to foreign efforts to arrest, seize, detain, or otherwise intercept wrongdoers within their jurisdictions".

This reasoning suggests that even if the Federal Circuit Court ultimately upholds some aspects of the administration's trade policy, the current broad-based tariff regime may face continued legal challenges. However, the court left intact Section 232 tariffs on steel, aluminum, and automobiles, indicating that more narrowly tailored trade measures may survive judicial scrutiny.

Practical Procurement Strategies for Law Firms

Given this uncertain environment, law firms should consider a hybrid approach to technology procurement that balances risk management with cost efficiency. Rather than making dramatic changes to established procurement cycles, firms should focus on strategic timing and vendor diversification.

• Immediate Actions: Law firms with aging hardware that was already scheduled for replacement should consider accelerating those purchases slightly. Equipment approaching end-of-life status represents the highest risk category, as firms cannot afford to delay these replacements indefinitely. However, avoid panic purchasing of equipment that still has useful life remaining.

• Vendor Diversification: The current trade tensions highlight the risks of over-reliance on any single country's manufacturing base. Samsung smartphones, for example, may face fewer tariff pressures than Apple devices because Samsung shifted most production away from China to Vietnam, India, and South Korea. Law firms should evaluate whether their technology vendors have diversified supply chains that reduce exposure to specific country-based tariffs.

• Future-Proofing Without Overcommitment: Interestingly, recent surveys reveal that 73% of iPhone users and 87% of Samsung Galaxy users find little to no value in artificial intelligence features. This suggests that law firms should focus procurement decisions on proven functionality rather than cutting-edge features that may not provide practical value. Battery life, storage capacity, and build quality remain more important factors than AI capabilities for most legal professionals.

The Economics of Hardware as a Service

be the hero in your law office by having a solid understanding of where your tech comes from and how tariffs may impact your purchasing power!

The US Court of International Trade’s ruling and the ensuing tariff uncertainty underscore the need for law firms to reassess traditional hardware procurement models. Hardware as a Service (HaaS) offers a strategic alternative, shifting the financial and operational risks of ownership to specialized providers. Under HaaS, firms pay fixed monthly fees for enterprise-grade computers and devices, with vendors handling maintenance, upgrades, and supply chain disruptions—critical advantages amid fluctuating trade policies.

For small-to-midsize firms, HaaS mitigates two key risks: sudden tariff-driven price hikes and premature hardware obsolescence. By converting capital expenditures into predictable operational costs, firms avoid large upfront investments in equipment that may depreciate rapidly if tariffs escalate. Providers also absorb the burden of navigating geopolitical trade complexities, ensuring timely hardware replacements even if import restrictions tighten.

While many legal workflows rely on Software as a Service (SaaS), these cloud-based tools still require reliable hardware. Outdated computers struggle with modern SaaS platforms, leading to lagging performance, security vulnerabilities, and lost productivity. HaaS ensures firms maintain hardware capable of running current software efficiently, without the financial strain of cyclical refresh cycles.

Long-Term Strategic Considerations

Law firms must avoid knee-jerk reactions to tariff headlines. The legal challenges to presidential trade authority suggest broader import duties may face judicial limits, but appeals will prolong uncertainty. Instead, firms should build hardware procurement resilience through:

1. Vendor Diversification: Partner with HaaS providers and suppliers across multiple regions to reduce dependency on tariff-affected geographies.

2. Modular Budgeting: Allocate flexible funds for hardware upgrades, allowing adjustments as trade policies evolve.

3. Performance Benchmarks: Prioritize devices with proven durability and processing power over speculative AI features, as 73% of legal professionals report minimal use of smartphone AI tools.

Final Thoughts

THERE ARE MORE FACTORS THAT JUST THE TARIFF’S THEMSELVES FOR LAWYER TO CONSIDER WHEN PURCHASING THEIR NEXT OFFICE TECH DEVICE!

The tariff chaos demands measured action, not paralysis. Firms should:

• Replace aging hardware incapable of running current software and SaaS tools efficiently, as outdated devices increase security risks and hinder client service.

• Adopt hybrid procurement models, blending HaaS for high-risk devices (e.g., laptops, servers) with outright purchases for stable, long-use equipment (e.g., monitors, keyboards, etc.).

• Ignore speculative tech trends; focus on hardware that enhances core workflows, not flashy AI features with negligible practical value.

By anchoring decisions in operational needs rather than tariff panic, firms will balance cost efficiency with preparedness for any trade policy outcome.

MTC

MTC: Generative AI vs. Traditional Legal Research Platforms: What Modern Lawyers Need to Know in 2025 🧠⚖️

In today’s ai world, you have to keep up to date on what is the best legal research platform.

We’ve been reporting on AI’s impact on the practice of law for some time now. And in today's rapidly evolving legal technology landscape, attorneys face a crucial decision: rely on cutting-edge AI language models or stick with established research platforms. The emergence of powerful generative AI tools has disrupted traditional legal research methods. Yet questions persist about reliability, accuracy, and practical application in high-stakes legal work.

The Power of AI in Legal Research 🚀

Generative AI has revolutionized how legal professionals conduct research. These systems can process vast amounts of information in seconds, draft documents, summarize cases, and provide quick answers to complex legal questions. The time-saving potential is enormous - what once took hours can now be accomplished in minutes.

AI language models excel at:

• Producing initial legal research summaries

• Analyzing contracts and identifying potential issues

• Drafting first versions of legal memoranda

• Summarizing lengthy case law

• Answering straightforward legal questions

The efficiency gains are substantial. According to recent studies, AI tools can reduce contract analysis time by up to 70%. For time-pressed attorneys, this represents a significant competitive advantage.

Top Five AI Legal Research Tools 💻

1. CoCounsel fka Casetext- Built specifically for legal professionals, CoCounsel combines AI with a robust legal database to provide research assistance, document review, and contract analysis.

2. ChatGPT/Claude AI - General-purpose AI models that have shown remarkable capabilities in legal research. Claude 3 Opus is particularly notable, with Anthropic claiming it's "currently the best AI system for legal research".

3. Westlaw Precision with CoCounsel - Thomson Reuters has integrated AI into its flagship research platform, offering AI-Assisted Research, Claims Explorer, and AI Jurisdictional Surveys.

4. Lexis+ AI - LexisNexis's AI-powered solution that leverages the company's extensive legal database to provide research assistance and document analysis.

5. Perplexity AI - A newer entrant combining search engine capabilities with AI to provide cited legal research results and real-time dat.

Limitations of AI Legal Research Tools ⚠️

AI legal Research and “traditional” research methods are not an “either or” scenario - lawyers need to learn both and how to integrate the two in their legal research.

Despite their impressive capabilities, AI tools face significant challenges in the legal context. Most concerning is their tendency to "hallucinate" or generate false information. Stanford researchers found that legal models hallucinate in 1 out of 6 (or more) benchmarking queries.

General Limitations

• Hallucinations and factual errors - AI systems regularly generate non-existent case citations and fabricate legal principles.

• Confidentiality risks - Attorneys must ensure AI platforms don't retain client data or share it with third parties.

• Limited jurisdiction coverage - Many AI tools prioritize federal and popular state jurisdictions while providing less reliable information for smaller jurisdictions.

• Ethical compliance challenges - Bar associations increasingly require attorneys to supervise and verify AI-generated content.

Tool-Specific Limitations

• ChatGPT/Claude: General-purpose models lack specialized legal databases and may mix laws from different jurisdictions.

• CoCounsel: While powerful, it still requires attorney verification and has limitations in specialized practice areas.

• Lexis+ AI: Users report it sometimes struggles with complex legal questions requiring nuanced analysis.

• Westlaw Precision AI: Excellent integration with Westlaw's database but comes with significant cost barriers for small firms.

• Perplexity AI: Newer platform with less established track record in complex legal research scenarios.

Traditional Legal Research Platforms: The Gold Standard 📚

Traditional platforms like LexisNexis, Westlaw, and Bloomberg Law remain essential tools for legal professionals. Their longevity stems from reliability, comprehensiveness, and editorial oversight.

General Strengths

Lawyers need to learn how to balance AI-based legal research with “traditional” legal research methods if they want to stay ahead of the competition!

• Verified and authoritative content - Content undergoes editorial review and verification

• Comprehensive case law coverage across jurisdictions

• Established citation systems that courts recognize and trust

• Advanced filtering and search capabilities refined over decades

• Specialized practice area materials including forms and secondary sources

Platform-Specific Strengths

• Westlaw: Exceptional KeyCite system for checking if cases remain good law and extensive practice guides.

• LexisNexis: Strong integration with Microsoft tools and flexible deployment options via Azure.

• Bloomberg Law: AI-powered Points of Law tool identifies the best case language for particular legal points.

• vLex: Global coverage spanning over one billion legal documents from multiple jurisdictions.

Traditional Platform Limitations

• Cost barriers - Enterprise-level pricing puts these tools out of reach for many small firms and solo practitioners

• Steep learning curves - Complex interfaces require significant training

• Slower adoption of new technologies compared to AI-native platforms

• Limited natural language processing capabilities in traditional search functions

• Time-intensive research processes even for experienced users

The Hybrid Approach: Best of Both Worlds 🔄

The most effective strategy employs both technologies strategically. AI can accelerate initial research and drafting, while traditional platforms verify accuracy and provide authoritative citations.

Practical Implementation Guidelines

1. Use AI for initial research exploration - Begin with AI to quickly understand the legal landscape and identify relevant areas of law.

2. Verify all AI-generated citations - Never submit work with AI citations without verification. Recent cases show attorneys facing sanctions for submitting fabricated AI case citations.

3. Employ traditional platforms for precedential research - Once you've identified the relevant area, use Westlaw or LexisNexis to find authoritative cases and statutes and make sure they are still current and have not been overturned.

4. Let AI summarize lengthy materials - Have AI tools condense long cases or statutes for initial review, then verify important sections in original sources.

5. Use AI to draft and traditional tools to check - Generate first drafts with AI, then verify legal principles using traditional research platforms.

Real-World Application Examples

Example 1: An attorney researching a novel contract dispute could ask Claude or ChatGPT to identify potentially applicable contract principles and relevant UCC sections. They would then verify these principles in Westlaw, finding precise precedential cases before crafting their argument.

Example 2: For a time-sensitive motion, a lawyer might use Westlaw Precision's AI-Assisted Research to draft initial arguments, then verify each citation and legal principle using traditional KeyCite features before filing.

Comparison of AI and Traditional Legal Research Platforms 📊

This table comparing AI and traditional legal research platforms was created (with the help of Perplexity.AI) using information from several authoritative sources, each providing key data points and comparative insights:

• Efficiency and Speed: Legal AI research tools have made remarkable strides in efficiency over the past two years. According to the 2025 Vals Legal AI Report (VLAIR), leading AI platforms like Harvey, CoCounsel, and vLex Vincent AI now complete core legal research tasks six to eighty times faster than human lawyers, often delivering results in under a minute. The 2025 Thomson Reuters “Future of Professionals Report” projects that AI-driven solutions will free up an average of four hours per week for each legal professional, translating to substantial productivity gains. Recent surveys by the ABA and Bloomberg Law further confirm that AI-powered platforms such as Westlaw Edge, Lexis+ AI, and Casetext routinely reduce research and document review times by 50–80%, turning what used to be hours of work into minutes. These findings underscore why over half of legal professionals now cite “saving time and increasing efficiency” as the primary benefit of adopting AI in their legal research workflows.

• Accuracy and Citation Reliability: While AI tools can provide quick answers, they are prone to hallucinations-producing incorrect or fabricated information. A Stanford study found that Lexis+ AI and Ask Practical Law AI produced incorrect information more than 17% of the time, with Westlaw’s AI-Assisted Research hallucinating over 34% of the time. This directly informed the “Accuracy” and “Citation Reliability” rows in the table, showing that traditional platforms still offer higher reliability.

• Coverage and Content Breadth: Traditional platforms like Westlaw and LexisNexis offer vast, comprehensive databases-Westlaw, for example, provides access to over 40,000 databases, and LexisNexis over 10,000-covering statutes, case law, and secondary sources. This justifies their higher ratings for “Jurisdiction Coverage” and “Comprehensive Content.”

• Learning Curve and Workflow Integration: AI tools are generally easier to use and require less training, while traditional platforms have steeper learning curves but offer more robust workflow integrations and practice-specific resources.

• Cost and Accessibility: AI tools are often more cost-effective and accessible, especially for smaller firms, whereas traditional platforms can be prohibitively expensive but provide unmatched authority and editorial oversight.

• Court Acceptance and Confidentiality: Traditional platforms are recognized and trusted by courts, with established citation systems, while AI-generated citations require verification due to risks of hallucination and confidentiality concerns.

Final Thoughts: Strategic Integration is Key 🔑

The question isn't whether to choose AI or traditional platforms, but how to strategically integrate both. Legal professionals who master this hybrid approach gain efficiency without sacrificing accuracy.

AI excels at speed, summarization, and generating starting points for research. Traditional platforms provide reliability, authority, and comprehensive coverage essential for legal practice. Together, they form a powerful toolkit for the modern attorney.

As AI technology continues to improve, we can expect greater integration between these systems. The most successful legal professionals will be those who understand the strengths and limitations of each tool and deploy them strategically to serve their clients' needs.

For now, traditional research platforms remain essential while AI serves as a powerful complement. The future belongs to those who can harness the strengths of both.

MTC: Why Every Law Firm Should Invest in AI Training: The Case for Effective, Ethical, and Efficient Practice Transformation

The legal industry is facing a pivotal moment as artificial intelligence (AI) rapidly transforms the way lawyers handle everything from research to document review. Yet, a recent Google study underscores a critical truth: the real value of AI is unlocked only when law firms invest in training their professionals to use these tools effectively, ethically, and efficiently. According to Google’s pilot program, workers who received just a few hours of AI training reclaimed an average of 122 hours per year-time that translates directly into cost savings and reduced stress for legal professionals. For law firms, this is not just an opportunity; it’s a necessity for staying competitive in a fast-evolving marketplace.

The Google Study: Training Unlocks Real AI Value

Google’s report, based on pilot programs across the UK, found that the economic impact of AI could reach £400 billion ($533 billion) if the workforce is properly trained. The key insight? Training is the catalyst. Workers who were given permission and basic instruction to use AI tools saw immediate productivity gains, with administrative tasks-often a major time sink for lawyers-becoming dramatically more manageable. This is not just about technology adoption; it’s about empowering professionals to confidently and competently use AI in their daily workflow.

Empirical Evidence: AI Boosts Legal Work Quality and Efficiency

📊 Improve your firm’s success by teaching lawyers to be Competent and confident in the use of legal leader teaches AI tools that boost firm success.

Skepticism about AI’s reliability persists, especially in a field as high-stakes as law. However, a landmark study involving law students using advanced AI tools (like OpenAI’s o1-preview and Vincent AI) found that AI improved attorney efficiency by up to 140% and the quality of legal work by as much as 28%. These gains were particularly pronounced in complex tasks such as drafting persuasive letters or analyzing complaints. The study’s conclusion is clear: AI, when used properly, consistently elevates both the speed and quality of legal work.

The Real Roadblock: Training, Not Technology

Despite these benefits, many lawyers remain hesitant to use AI, often because they lack the training or “permission to prompt.” Google’s study found that two-thirds of workers-especially those less familiar with technology-had never used generative AI at work. The solution is straightforward: law firms must invest in structured, ongoing AI education. A few hours of targeted training can double adoption rates and unlock exponential returns in efficiency and morale.

Legal AI Tools: What’s Available Now

The landscape of legal AI tools is rich and growing. Here are some of the most impactful platforms and programs, each offering unique benefits for law firms ready to take the leap:

• Clio Duo: Integrates AI into practice management, automating time tracking, billing, and client communications.

• CoCounsel by Casetext: Offers AI-powered legal research, document review, deposition preparation, and contract analysis.

• Harvey AI: Delivers generative AI solutions for drafting, research, and summarization tailored to legal workflows.

• Lexis+ AI, Westlaw Precision AI, and vLex’s Vincent AI: These platforms leverage advanced natural language processing to enhance legal research, with features like Shepard’s integration, KeyCite, and user-driven customization.

• Kira Systems: Specializes in contract review and analysis, using machine learning to extract and organize key information.

• ChatGPT and Microsoft Copilot: General-purpose AI tools that, with proper prompt engineering, can assist with drafting, summarizing, and brainstorming legal documents.

Training Programs for Lawyers: Building AI Competency

🤖 AI-powered future: teach lawyers how to work smarter using legal tech tools.

A growing number of educational resources are designed specifically for legal professionals:

• Embracing AI for Legal Professionals (Duke University): A 40-hour, self-paced course covering AI’s role in legal research, document review, contract analysis, predictive analytics, and ethical best practices. Includes hands-on experience with leading tools like ChatGPT, Clio, and Kira Systems.

• Generative AI for the Legal Profession (Berkeley Law Executive Education): An online crash course focusing on prompt engineering, risk management, and responsible AI integration in legal practice. No prior technical experience required.

• AI for Lawyers and Other Advocates (University of Michigan): A four-part online series exploring both the practical uses and risks of AI in law, available free to Michigan students and alumni.

• AI & Law (Lund University, Coursera): Examines AI’s impact on legal responsibility, law enforcement, and intellectual property, providing a foundational understanding for legal professionals.

• Artificial Intelligence and the Rule of Law (National Judicial College & UNESCO): Focuses on the ethical and governance challenges of AI in justice systems, ideal for judges and lawyers.

• Legal Tech and AI for Lawyers (Udemy, NYCU/FutureLearn): Covers eDiscovery, legal research, contract management, and the intersection of law and data science, including blockchain and legal forensics.

• Artificial Intelligence, Industry, and the Law (Penn Carey Law School: An executive education program exploring the convergence of AI, regulation, and law, preparing lawyers for the evolving regulatory landscape.

Why Training Pays Off: Efficiency, Ethics, and Peace of Mind

Empower lawyers with AI training for ethical, efficient practice!

Investing in AI training isn’t just about saving time-it’s about doing better work and avoiding costly mistakes. Properly trained lawyers can:

• Streamline document review and e-discovery, reducing billable hours lost to repetitive tasks.

• Improve legal research accuracy and speed, ensuring no precedent is overlooked.

• Enhance contract analysis, identifying risks and opportunities more quickly.

• Maintain ethical standards by understanding AI’s limitations, such as hallucinations or bias, and knowing how to verify AI-generated results.

• Increase client satisfaction by delivering faster, more accurate, and more transparent legal services.

The up-front investment in training-whether through formal courses, in-house workshops, or self-paced online modules-pays for itself many times over. Firms that prioritize ongoing education see reduced stress, improved morale, and a culture of innovation that attracts both clients and top talent.

Stay Ahead: The Tech-Savvy Lawyer.Page and Tech-Savvy Saturdays

For those ready to take the next step, resources like The Tech-Savvy Lawyer.Page and The Tech-Savvy Lawyer.Page Podcastoffer a wealth of practical tips, reviews, and tutorials on leveraging technology in legal practice. Don’t miss Tech-Savvy Saturdays-monthly sessions where attorneys from around the world discuss the latest in legal tech, share challenges, and highlight innovative tools. These free events are an ideal way to stay current, ask questions, and build a tech-forward legal practice.

Ready to future-proof your practice? Bookmark 📑 “The Tech-Savvy Lawyer.Page” 📝 , subscribe to "The Tech-Savvy Lawyer.Page Podcast" 🎙️ wherever you get your podcast feeds, and join us for the next the "Tech-Savvy Saturdays!"

🎉

Ready to future-proof your practice? Bookmark 📑 “The Tech-Savvy Lawyer.Page” 📝 , subscribe to "The Tech-Savvy Lawyer.Page Podcast" 🎙️ wherever you get your podcast feeds, and join us for the next the "Tech-Savvy Saturdays!" 🎉

Final Thoughts

The message is clear: AI is not a threat to legal expertise-it’s a tool that, when used properly, amplifies what lawyers do best. But the key to unlocking AI’s full potential is training: investing a little time and money now to save much more in the long run. Law firms that make AI education a priority will not only save hours and dollars but will also deliver better outcomes for their clients and greater peace of mind for their teams.

Stay tuned to The Tech-Savvy Lawyer.Page and The Tech-Savvy Lawyer.Page Podcast for more insights, practical guides, and invitations to our next Tech-Savvy Saturdays. The future of law is here-make sure your firm is ready to lead it.