Lawyer fined for AI-generated false testimony in murder appeal
New Mexico’s Supreme Court fined defense attorney Stephen Aarons $5,000 and held him in contempt after his appellate brief contained fabricated witness statements and false details about the shooter’s appearance that were generated by ChatGPT.
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New Mexico’s Supreme Court fined defense attorney Stephen Aarons $5,000 and held him in contempt after his appellate brief contain…
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Short answer: New Mexico’s Supreme Court fined defense attorney Stephen Aarons $5,000 and held him in contempt after his appellate brief contained fabricated witness statements and false details about the shooter’s appearance that were generated by ChatGPT.
Lawyer fined for AI-generated false testimony in murder appeal
New Mexico’s Supreme Court has penalized a defense attorney for submitting false information that was produced by an artificial intelligence tool. The court ordered Stephen Aarons to pay a $5,000 fine and found him in contempt after discovering that his appellate brief contained fabricated witness statements and invented details about the shooter’s appearance. The filing, which was submitted on a Wednesday, said the brief included testimony from witnesses that do not exist and false descriptions of the clothing and features of the person accused of the shooting.
During an August hearing, Justice C. Shannon Bacon confronted Aarons about his reliance on the AI system. She asked whether he follows news outlets, listens to the radio, or reads any coverage of current events, pointing out that problems with AI hallucinations appear regularly in mainstream coverage. Aarons acknowledged that he had used ChatGPT to help draft the brief, believing it would produce a reliable summary of the trial record. He said he did not realize the model could invent facts that have no basis in reality.
The court’s order emphasized that attorneys have a duty to verify every factual claim and legal citation before submitting documents to the tribunal. It noted that the brief’s falsehoods undermined the integrity of the judicial process and could have misled the justices reviewing the appeal. The sanction serves as a reminder that technological shortcuts do not excuse professional responsibility.
Attorney expresses regret and hopes mistake seen as honest error
Aarons later issued a statement through Reuters expressing regret but hoping that the disciplinary board will consider the mistake an honest error rather than intentional misconduct. He said he remains committed to learning how to use AI tools safely and will take steps to prevent similar issues in the future.
The case is part of a broader pattern in which legal professionals are increasingly turning to generative AI for research and drafting, only to encounter inaccurate outputs. In the previous year, a federal judge reprimanded two law firms after discovering that their briefs contained numerous false citations and quotations that were invented by AI. Separately, attorneys representing the founder of MyPillow were also sanctioned for inserting AI-generated misquotes and fabricated legal references into a court filing.
These incidents have prompted bar associations and courts to issue guidance on the appropriate use of AI in legal work. Many jurisdictions now require lawyers to confirm that any content produced by an AI system is accurate and to disclose when such technology has been employed. Critics warn that without proper oversight, the convenience of AI could erode trust in the legal system, while proponents argue that the technology can improve efficiency when used with caution.
For developers and users of AI, the episode highlights the importance of building models that minimize hallucination and of providing clear warnings about their limitations. It also underscores the need for education programs that teach professionals how to verify AI-generated information before relying on it in high-stakes settings such as litigation. As AI becomes more embedded in everyday workflows, the responsibility to ensure its outputs are trustworthy falls on both the creators of the technology and the people who deploy it.
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Details of AI-generated false testimony in the appellate brief
What penalty did New Mexico’s Supreme Court impose on lawyer Stephen Aarons for submitting AI-generated false testimony?
The court ordered Stephen Aarons to pay a $5,000 fine and found him in contempt after discovering fabricated witness statements and invented details in his appellate brief.
Why did the New Mexico Supreme Court sanction Stephen Aarons?
He submitted an appellate brief containing false witness statements and made-up descriptions of the shooter’s appearance that were produced by an AI tool, violating his duty to verify facts before filing.
What did Stephen Aarons say about his use of ChatGPT in drafting the brief?
Aarons acknowledged he used ChatGPT to help draft the brief, believing it would produce a reliable summary of the trial record, and said he did not realize the model could invent facts with no basis in reality.
What other legal cases involving AI-generated misinformation are mentioned in the article?
A federal judge reprimanded two law firms for false citations and quotations invented by AI, and attorneys for MyPillow’s founder were sanctioned for AI-generated misquotes and fabricated legal references in a court filing.
The New Mexico Supreme Court found defense lawyer Stephen Aarons in direct contempt of court for filing a brief that contained AI-fabricated witness testimony, fined him $5,000, barred him from appearing before the court, and ordered a new lawyer for his client.
New Mexico’s Supreme Court fined attorney Stephen Aarons $5,000 and held him in contempt after he submitted a murder-appeal brief containing AI-generated false witnesses and inaccurate police testimony, having failed to verify the fabricated content before filing.
Perplexity began using GPT-6 Astra on September 14, 2026 to draft internal and external messages, tweak software components, and monitor production system health, with human operators now checking in far less often than with earlier models.
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