California Immigration Attorneys Reportedly Sanctioned Over Briefs Containing Probable Hallucinations in LNU v. Blanche
October 20, 2025
Harm prevention is crucial for responsible AI practices, as seen in the recent case of LNU v. Blanche. This highlights the importance of adhering to guardrails for AI, ensuring the safe and secure use of AI technologies. Contributors—JOIN US—to learn more about implementing trustworthy AI governance frameworks.
Matched TAIM controls
Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls
- GOVERN 6.1 — similarity 0.627, rank 1. TAIM detail and related incidents →
- MAP 4.1 — similarity 0.623, rank 2. TAIM detail and related incidents →
- GOVERN 1.1 — similarity 0.621, rank 3. TAIM detail and related incidents →
- Alleged deployer
- sethi-law-group, legal-professionals, law-firms
- Alleged developer
- large-language-model-developers
- Alleged harmed parties
- united-states-court-of-appeals-for-the-ninth-circuit, sunita-rani-lnu, malkeet-lnu, judicial-integrity, jaivin-lohan, 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/1571
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.