July 1, 2025


A Cautionary Tale: Trial Court Issues Order Based on Non-Existent AI-Generated Caselaw

In an unprecedented legal misstep, a trial court recently based its ruling on entirely fictitious caselaw, believed to have been produced by generative AI. This incident brings to the fore the growing issue of AI in legal proceedings, where the integration of technology and law sometimes creates more confusion than clarity.

The case in question, Shahid v. Esaam, saw a husband's divorce decree being challenged by his wife due to improper service. The husband's attorney, in an effort to fortify their argument, cited two non-existent cases. What makes this situation particularly alarming is that the trial judge accepted these citations without verification, leading to a judgment partly based on these fictional references.

It wasn't until the case reached the appellate level that the error was identified. The appellate court noted the husband’s continued defense using even more fake cases. This chain of citations of imaginary cases highlights a significant lapse in legal document verification and raises concerns about the reliability of AI-generated content in legal contexts.

The appellate decision pointed out that these errors likely stemmed from the use of generative AI tools, which, as noted by Chief Justice John Roberts in his 2023 Year-End Report on the Federal Judiciary, can lead to “hallucinations” or the creation of factually incorrect or non-existent legal precedents. This incident underlines Roberts' call for caution and humility in the use of AI technologies within the judiciary.

This case is a critical reminder of the potential pitfalls in the uncritical application of AI in law. It illustrates not only the possible repercussions on individual cases but also the broader implications for the integrity of legal proceedings. The reliance on AI to assist in legal document preparation and research must be meticulously balanced with rigorous oversight and fact-checking.

The legal community and technologists must work together to establish protocols and safeguards to prevent such errors from occurring in the future. This includes better training for legal professionals in the use of AI tools, enhanced AI literacy, and perhaps more importantly, a reinforcement of traditional verification practices in the face of increasingly advanced technologies.

As AI becomes further integrated into our daily professional tools, the legal system must evolve concurrently to ensure that justice is administered based on correct and factual information. This case serves as a stark reminder of the challenges at the intersection of technology and law, urging a more informed, cautious approach to AI's role in legal decision-making.