Purportedly AI-Generated False Citations in Arizona Probate Appeal Reportedly Led to Sanctions Against Self-Represented Appellant
September 11, 2025
This incident highlights the risks associated with relying on AI tools for legal research without proper verification and fact-checking. It also underscores the importance of adherence to established legal standards and protocols in probate proceedings. As the use of AI in legal contexts continues to grow, it is essential that individuals like Kotchka take steps to ensure the accuracy and reliability of their citations.
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Matched TAIM controls
Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls
- MAP 4.1 — similarity 0.638, rank 1. TAIM detail and related incidents →
- GOVERN 6.1 — similarity 0.637, rank 2. TAIM detail and related incidents →
- GOVERN 1.1 — similarity 0.629, rank 3. TAIM detail and related incidents →
- Alleged deployer
- jeffrey-kotchka, pro-se-litigants, litigants
- Alleged developer
- large-language-model-developers
- Alleged harmed parties
- jeffrey-kotchka, kim-dineen, pro-se-litigants, judicial-integrity, epistemic-integrity, arizona-court-of-appeals, litigants
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/1600
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.