Lawyers Misrepresent Facts in Filings: Practical Solutions Needed

Because lawyers should be able to use good, smart, Ai without being nervous about getting sanctioned. Clearbrief.ai How Women Invest

It's crucial to learn how to mitigate and reduce hallucinations in AI usage. The recent ruling from a U.S. appeals court has made it clear: "The AI told me so" is no longer a valid defense in professional settings, regardless of team size. On March 16, 2026, a legal team faced a $30,000 fine for submitting filings based on non-existent, AI-generated case law. This highlights a significant reputation risk for all professionals utilizing large language models (LLMs). AI's design to be helpful and agreeable often leads it to "invent" facts to meet prompts. Whether standardizing a global workforce or safeguarding your consultancy, lacking a documented Fact-Checking Protocol exposes you to considerable liability. Here’s how I approach AI Governance in two contexts: For Corporations: Implement "Systemic Governance" by establishing technical guardrails (e.g., Oracle/IBM), deploying LMS-based certifications, and enforcing "Human-in-the-Loop" compliance to protect the brand at scale. For Solopreneurs: Adopt "Self-Governance" by applying the same institutional rigor to reclaim the "Golden 20%" of your work week while maintaining the client trust built over years. I’ve created a two-page Mitigating Hallucinations reference sheet, detailing specific prompts needed to verify outputs before they become a liability. If you're interested, comment "CHECK" and I’ll DM you. #AI #Governance #RiskManagement #RevenueEnablement For more details, read the Reuters article: https://lnkd.in/e4Xh8Ede

It was a pleasure to speak with Kyle Jahner at Bloomberg Law about AI and trade secret law! These are interesting and challenging questions that everyone in the field (and in business) are grappling with. Thus far, few clear answers but plenty of smart strategies to consider. https://lnkd.in/eMgGrU5c

A recent U.S. Court of Appeals decision imposing $30,000 in sanctions for AI-generated, fabricated citations is not, in my view, an “AI problem.” It is a professional responsibility problem. AI does not “know” the law. It does not reason, verify, or exercise judgment. It generates language based on statistical patterns, often with remarkable fluency, but without any grounding in truth. That fluency is precisely the risk. It creates the illusion of reliability. What we are seeing is a subtle but important shift: the aesthetic of competence is being mistaken for competence itself. For those of us practicing at the intersection of law and technology, the implications are clear: The duty of diligence is not diminished by AI; it is heightened. Verification is not optional; it is foundational. AI is a powerful tool. But it is not a substitute for legal reasoning, and it cannot bear the weight of professional accountability. That responsibility still rests, entirely, with us. https://lnkd.in/gWDSK3yt #LeadershipUnfiltered #AIandLaw #LegalEthics #ProfessionalResponsibility

Another one bites the dust. Lawyers need to understand that fines are just part of the game but the reputation loss is irreversible. Fine slammed $10,000, that's a minuscule loss compared to 30 years of trust lost within 5 mins. AI is just a tool, its not your replacement. It's not even a replacement for your secretary. Whether its Harvey, Claude Legal or anything else. Be extremely careful! A must read for all lawyers going crazy due to AI FOMO. https://lnkd.in/dPAZRMH3

Most legal training teaches you how to analyze a case. It does NOT teach you how a case actually fails. I went back to my own capstone on Brown v. Hammond and ran it through the system I’m building now. Same facts. Same law. Completely different outcome. Here’s why: The original version blended everything together: • reporting misconduct • refusing to participate • telling clients But under pressure, those are NOT the same. One is protected. One is conditional. One kills your case. And courts don’t “interpret your intent” — they isolate your weakest link and pull it apart. So I rebuilt it using what I call a JusticeTree IRAC: → isolate the legally protected conduct → map facts directly to doctrine → run a failure test before filing → simulate opposing counsel Result? The case stops being a story… and becomes something that can actually survive a motion to dismiss. This is the gap I’m focused on: We don’t need more AI that generates legal answers. We need systems that ask: “Will this hold up in court?” Because most harm doesn’t come from bad outcomes. It comes from cases that were never structurally sound to begin with. #LegalTech #AI #JusticeTree #DueProcess #LegalInnovation

There’s a new decision out of the Sixth Circuit on AI use in appellate briefing, and it goes beyond the usual “fake citation” issue. In Whiting v. City of Athens, the court examines some of the harder, less-discussed questions about generative AI in court. The opinion addresses disclosure obligations for AI-assisted filings, how hallucinations can affect factual representations and not just case law, and the court's inherent authority to sanction AI-related misconduct — separate from Rule 38. A few thoughts on what it means and how lawyers should be using these tools in practice: https://lnkd.in/evTZatvc

Most of the discussion around AI in litigation focuses on fake citations. A recent Sixth Circuit decision shows the risks are broader than that, especially on appeal. I break down the key takeaways here:

🛑 The $500-an-Hour Monopoly Is Panicking ⚖️ AI is forcing a choice: legal literacy for the public, or legal power kept behind a paywall • 📚 There is a new literacy test in law. • 🏢 If you can afford AI inside a law firm, behind enterprise walls and supervised workflows, it is called innovation. • 💸 If you use a public AI tool because you cannot afford $500 an hour, it is called recklessness. • 🔥 That is the legal fault line of 2026. • 🎯 The fight over AI in law is not really about technology. It is about control. • ⚔️ Courts and institutions are beginning to draw a line between: • 🛡️ Structured use • 🚨 Exposed use • 📂 In one case, public-AI-generated materials were treated as unprotected. • 🧱 In another, AI-assisted pro se preparation was treated as protected work product. • 🚪 Now the fight is expanding into claims that the tools themselves may cross into unauthorized practice of law. • 📣 The signal is hard to miss: • ✅ Structure may be protected • ❌ Exposure may be punished • 💰 That distinction sounds neutral, but it is not. • 🏛️ Sophisticated actors can buy structure. • 🧍 Everyone else gets exposure. • 🧠 That is why AI in law is becoming class-coded. • 📈 When institutions use AI, the language is: • innovation • productivity • efficiency • ⚠️ When ordinary people use AI, the language becomes: • waiver • sanctions • recklessness • 🤖 Same technology. 🏷️ Different social meaning. • 🔍 Why does this matter? • 🗂️ Because AI can help ordinary people: • understand procedure • organize facts • compare arguments • identify burdens • spot defects before they get buried by complexity • ⚡ That is a real shift in power. • 😬 And that is what makes the establishment nervous. • 🙋 Most pro se litigants are not reckless. • 💵 They are priced out. • 🚫 They are too poor for full representation. • 📝 Too complicated for generic forms. • ⏳ Too trapped by the stakes to walk away. • 🏛️ They are told the courthouse belongs to everyone. • 💳 Then they discover that fluency is rented by the hour. • 🚧 If AI becomes safe only for institutions, it will not democratize law. • 📌 It will simply: • upgrade the people who already have lawyers • discipline the people who do not • 🌉 That is why a third category matters: • 🏢 not institutional AI • 🎲 not chaotic consumer AI • 🎓 but educational legal AI • 🧩 That is where I place the Legal Calculus Educational System. • 🚫 The point is not to turn a chatbot into a lawyer. • 🧠 The point is to turn the user into a strategist. • 🛠️ That means: • 🧭 architecture before drafting • ✍️ human authorship • 🔎 multi-layer verification • 🔐 privacy segmentation • 🪜 AI as scaffold, not substitute • 🌱 Used that way, AI does not replace judgment. • 📖 It helps build legal literacy. • 🚨 That is the choice now: • 🔒 keep legal power behind a paywall • • 🛑 That is why the monopoly is panicking.

⚖️ A Wake-Up Call for the Legal Profession: AI Is Not Your Attorney To my colleagues in the legal profession, if you haven't been paying close attention to how AI is threatening legal practice, now is the time. We've all seen the headlines: attorneys sanctioned and disciplined for submitting AI-generated briefs containing hallucinated case citations that simply don't exist. Courts are losing patience, and the consequences are real. But a recent federal ruling has raised the stakes even further. 🤖 In United States v. Heppner, the court ruled that written exchanges between a criminal defendant and the generative AI platform Claude were not protected by attorney-client privilege or the work product doctrine. The defendant used Claude to analyze his legal situation and develop defense strategies on his own, without attorney direction. The FBI seized those documents, and the court allowed it. 🔓 The takeaway is stark: anything typed into a consumer AI platform should be treated as if it were posted publicly. Sharing AI-generated materials with counsel after the fact does not create privilege retroactively. Our ethical obligations to clients, confidentiality, competence, diligence, don't pause for new technology. Stay informed, stay cautious, and please share this with colleagues who need to hear it. ..... Link to article in comments #LegalProfession #AIinLaw #AttorneyClientPrivilege #LegalEthics #GenerativeAI #UnitedStatesvHeppner