Reilly v. Conn. Interlocal Risk Mgmt. Agency
D. Connecticut · Jun 20, 2025 · Vernon D. Oliver
What happened in this matter?
The court issued a formal warning to a pro se litigant after identifying fabricated case law and mischaracterized citations in their filings. The judge noted that these errors are characteristic of AI-generated content and cautioned the litigant that reliance on such tools without independent verification prevents them from fulfilling their duty of candor to the court.
- Why the court cared
- The court reasoned that the plaintiff's filings contained citations that did not match the propositions for which they were cited and a quote that did not appear in the referenced case. The court inferred the potential use of AI based on these patterns and emphasized that reliance on AI without verification leads to inaccurate representations, which violates the litigant's obligation to ensure the truthfulness of court filings.
- Why it matters now
- This case illustrates how courts are addressing AI-related research errors in pro se litigation. It reinforces the judicial expectation that all litigants, regardless of representation status, must independently verify the accuracy of legal authorities and quotes to satisfy their duty of candor.
Why this matter is tracked
False Quotes: Case Law | Plaintiff quoted Gideon v. Wainwright as stating, "[c]onstitutional rights would be of little value if they could be indirectly denied," but the court found this quote does not appear in Gideon on the cited page or anywhere; a similar statement appears in Smith v. Allwright. Outcome: Warning. "Artificial intelligence may ultimately prove a helpful tool to assist pro se litigants in bringing meritorious cases to the courts. In that way, artificial intelligence has the potential to contribute to the cause of justice. However, accessing any beneficial use of artificial intelligence requires carefully understanding its limitations. For example, if merely asked to write an opposition to an opposing party’s motion or brief, or to respond to a court order, an artificial intelligence program is likely to generate such a response, regardless of whether the response actually has an arguable basis in the law. Where the court or opposing party was correct on the law, the program will very likely generate a response or brief that includes a false statement of the law. And because artificial intelligence synthesizes many sources with varying degrees of trustworthiness, reliance on artificial intelligence without independent verification renders litigants unable to represent to the Court that the information in their filings is truthful."
This case illustrates how courts are addressing AI-related research errors in pro se litigation. It reinforces the judicial expectation that all litigants, regardless of representation status, must independently verify the accuracy of legal authorities and quotes to satisfy their duty of candor.
Record details
What the record establishes about AI use
The court stated the plaintiff may have used artificial intelligence.
Order of dismissal pursuant to 28 U.S.C. § 1915(e)(2)(B) following an initial screening and an Order to Show Cause.
Correction behavior is not separately verified in the current record.
Tracked discrepancy record
2 citation, quotation, or authority issues are recorded in the source dataset.
- False Quotes: Case Law | Plaintiff quoted Gideon v. Wainwright as stating, "[c]onstitutional rights would be of little value if they could be indirectly denied," but the court found this quote does not appear in Gideon on the cited page or anywhere; a similar statement appears in Smith v. Allwright.
- Misrepresented: Case Law | Court noted several instances where cases cited by plaintiff did not remotely match the propositions for which they were cited.
Questions this record answers
- What happened in Reilly v. Conn. Interlocal Risk Mgmt. Agency?
- The court issued a formal warning to a pro se litigant after identifying fabricated case law and mischaracterized citations in their filings. The judge noted that these errors are characteristic of AI-generated content and cautioned the litigant that reliance on such tools without independent verification prevents them from fulfilling their duty of candor to the court.
- Why does Reilly v. Conn. Interlocal Risk Mgmt. Agency matter for legal AI risk?
- This case illustrates how courts are addressing AI-related research errors in pro se litigation. It reinforces the judicial expectation that all litigants, regardless of representation status, must independently verify the accuracy of legal authorities and quotes to satisfy their duty of candor.
- What does the public record establish about Reilly v. Conn. Interlocal Risk Mgmt. Agency?
- The record summarizes the outcome described in the linked public source. The recorded link is hosted by a court or government source. This page is not a substitute for the complete docket, subsequent history, or jurisdiction-specific advice.
- Which source supports this Reilly v. Conn. Interlocal Risk Mgmt. Agency summary?
- The recorded source is govinfo.gov. It is classified as official court or government source; review the linked material and subsequent docket history before relying on this summary.
Related matters
Related by court, jurisdiction, tool, or classified failure pattern. Similarity does not imply the same facts or outcome.