The Hallucination Plateau: Why AI Sanctions Against Lawyers Are Now a Standing Risk

Something has shifted in the way courts are dealing with AI errors in legal filings. The novelty phase is over. The cases are no longer outliers that get written up as cautionary tales. They are a steady, ongoing volume of judicial rulings that show up quarter after quarter, and for any law firm thinking about its reputation, that shift matters more than any individual sanction.

Damien Charlotin, a senior research fellow at HEC Paris, has been maintaining a public database of court rulings addressing AI errors in filings for three years. The list now exceeds 1,400 cases. After a steep climb through last fall, the rate has settled into what Charlotin describes as a plateau of roughly 350 to 400 new rulings per quarter. The original reporting on the database, and on the broader pattern, comes from Scientific American’s recent coverage, which is worth reading in full.

A single April example sets the tone. The Alabama Supreme Court sanctioned an attorney whose briefs contained citations to cases that did not exist. The concurring opinion documented something the court found difficult to overlook: after being told he had cited a fabricated case in one filing, the lawyer apologized, then dropped another nonexistent citation into the very next sentence. He was not the only attorney sanctioned that week for the same problem.

For a law firm, the math on this is not about the fine. It is about everything that follows the fine.

Why Otherwise Careful Lawyers Keep Trusting the Machine

The Scientific American piece quotes researchers who have started naming what is going on. Alan Wagner, an associate professor of aerospace engineering at Penn State, frames the underlying bias plainly: humans tend to assume machines have more knowledge than they do, that machines do not break, and that machines are infallible. AI also produces answers that sound plausible in a way humans rarely manage when they are wrong.

A February 2026 study run by researchers at Lancaster University in England drives the point home. Participants were asked to complete an image-classification task with guidance that was correct only half the time. Those told the guidance came from AI, and who held positive views of the technology, performed worse than skeptical participants. No similar effect appeared when participants believed the advice came from humans. The bias is specific to AI.

The Wharton School has a name for the deeper version of the problem: cognitive surrender. Researchers Steven D. Shaw and Gideon Nave ran experiments offering item-by-item feedback and cash rewards for correct answers. Both interventions reduced deference to faulty AI. Neither eliminated it. People kept handing the thinking over.

That is the heart of the law firm exposure. Associates working under deadline pressure, partners reviewing drafts at 11 p.m., paralegals trying to keep up with a Friday filing cutoff — these are exactly the conditions under which cognitive surrender takes hold. The output looks like a brief. The citations look like citations. Nobody pulls the case.

The Reputation Cost Lands Harder Than the Sanction

Court sanctions are public records. So are the judicial opinions that describe them, and legal reporters in markets like Charleston have been tracking these cases closely. A $5,000 fine is recoverable. A search result that pairs your firm’s name with “AI hallucination” and “fabricated authority” for the next decade is not.

Our content director, Joe Toppe, currently serves as managing editor of PropertyCasualty360, the trade outlet covering U.S. property and casualty insurance — a sector where carriers track legal-tech failures closely because every novel AI error pattern eventually becomes a malpractice underwriting question. The point is not abstract. The fact-checking discipline that newsrooms operating under the Society of Professional Journalists Code of Ethics build into every story is exactly what is missing from the AI-to-court-filing pipeline. Citations get pulled. Quotes get sourced. Statistics get traced back to a primary document. That is the floor in journalism. It is not yet the floor in legal drafting.

In the law firm sites we have audited, the firms that get into trouble are rarely the ones that adopted AI carelessly. They are the ones that adopted it without changing any of their downstream review processes. The technology slipped into the workflow. The verification step did not get added.

What Verification Looks Like in Practice

The Boston University team that “inoculated” students by warning them about ChatGPT’s limitations found something useful and uncomfortable. Warning participants that the chatbot summarized academic sources poorly increased verification rates on that task. The same warning had no significant effect on math problems, because participants came in trusting AI math. Awareness alone does not produce the behavior change.

What does work is structural: a verification step that lives in the workflow, not in someone’s good intentions. Every citation gets pulled. Every quote gets sourced. The associate who drafted the brief is not the associate who verifies it. The verification step gets its own slot on the calendar, not the final 20 minutes before filing.

When I teach the Business Law unit at Greenville Technical College, the recurring lesson is that procedural discipline is what separates competent practice from sanctionable practice. The medium changes. The principle does not. A bench memo built on a fabricated case is the same problem as a brief built on a misread statute, only faster to produce and harder to spot.

This is not anti-AI. It is anti-cognitive-surrender. The technology can draft a section in two minutes that would have taken two hours. That speed is real. The speed is also the source of the trap.

When an Error Does Make It Into a Filing

Crisis communication for this category of mistake follows the same rules as any other public-record event involving a professional firm. Acknowledge the error directly. Do not let opposing counsel or a reporter define the narrative for you. Do not blame the tool. The judge is not interested in the tool. The judge is interested in why a member of the bar signed a brief without verifying it.

The firms that handle these moments well tend to do three things. They publish a short, direct statement on their own site under their own name. They put a verification protocol in place going forward and say so plainly. They stop talking about it after the statement. The firms that handle it poorly try to argue that the AI made them do it, which has not landed well in any opinion we have read.

For Greenville-area practices in particular, where the legal community is small enough that reputation travels through bar association events and referral networks within days, the response window is tighter than the docket window.

The Bottom Line

AI hallucinations in legal filings are no longer an anomaly. They are a steady, plateaued pattern that produces public sanctions, public opinions, and durable search-result damage. The firms that protect their reputations build verification into the workflow as a separate step, owned by a separate person, with its own slot on the calendar. The firms that do not are betting that the plateau bends downward before their name lands on it.

If your firm needs help building a defensible content and communication process — one that holds up to both judicial scrutiny and the tightened E-E-A-T evaluation Google is now applying to legal sites — Toppe Consulting’s law firm public relations practice works with attorneys across South Carolina.

Disclaimer

Toppe Consulting is a digital marketing and public relations agency serving law firms and other legal service providers. We are not a law firm. Nothing in this article constitutes legal advice, and reading it does not create an attorney-client relationship. The information here is provided for general educational and informational purposes only and reflects our perspective as marketing and communications professionals working in the legal services industry. We make no guarantees, claims, or assertions regarding specific outcomes, sanctions exposure, bar compliance, or the legal sufficiency of any verification protocol, communication, or framework described above. For guidance on the use of artificial intelligence in legal practice, professional responsibility, court filings, or sanctions exposure, consult a licensed attorney in your jurisdiction or your state bar association.

About the Author

Jim Toppe is the founder of Toppe Consulting, a digital marketing agency specializing in law firms. He holds a Master of Science in Management from Clemson University and teaches Business Law and Marketing at Greenville Technical College. Jim also serves as publisher and editor for South Carolina Manufacturing, a digital magazine. His unique background combines legal knowledge with digital marketing expertise to help attorneys grow their practices through compliant, results-driven strategies.