Westlaw CoCounsel Reportedly Generated False Legal Quotations in United States v. Farris
October 21, 2025
The incident underscores the importance of ensuring trustworthy AI models like those used in Westlaw CoCounsel are properly governed and monitored for harm prevention. HISPI Project Cerebellum TAIM can help guardrails be put in place to prevent similar incidents in the future. Through contributors—JOIN US—to learn more about this issue and how to implement better AI governance practices.
Matched TAIM controls
Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls
- GOVERN 6.1 — similarity 0.596, rank 1. TAIM detail and related incidents →
- MAP 4.1 — similarity 0.592, rank 2. TAIM detail and related incidents →
- GOVERN 1.1 — similarity 0.562, rank 3. TAIM detail and related incidents →
- Alleged deployer
- steven-n.-howe, legal-professionals, law-firms
- Alleged developer
- thomson-reuters, large-language-model-developers, ai-research-tool-developers
- Alleged harmed parties
- united-states-court-of-appeals-for-the-sixth-circuit, legal-clients, judicial-integrity, john-c.-farris, epistemic-integrity
AI governance case studies
For forensic AI governance failure analysis (TAIMScore™ case studies), browse Human Signal’s Failure Files™.
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/1572
Data source
Incident data is from the AI Incident Database (AIID).
When citing the database as a whole, please use:
McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.
Pre-print on arXiv · Database snapshots & citation guide
We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.