Law Society of Ontario lawyer fined 31,150 CAD for Grok hallucinations
A lawyer was ordered to pay 31,150 CAD in adverse costs after using Grok to file fabricated legal authorities in a Canadian tribunal case. The incident demonstrates the risks of relying on AI for legal research without manual verification.
The lawyer relied on Grok for legal research, resulting in the submission of non-existent case law.
Key facts
- What
- A lawyer was ordered to pay 31,150 CAD in adverse costs after using Grok to file fabricated legal authorities in a Canadian tribunal case.
- Incident date
- Jun 12, 2026
- Who
- Law Society of Ontario
- Failure mode
- Hallucination
- AI surface
- Chatbot
- Severity
- Medium
What happened
A lawyer appearing before the Law Society Tribunal of Ontario used Grok to generate legal submissions. The filings contained two fabricated cases and one misrepresented case and legal norm. The tribunal responded by issuing an adverse costs order of 31,150 CAD.
What broke inside the model
- 01 · TriggerA user asks for a fact, a citation, or a figure.
- 02 · Model stepThe model writes a fluent, confident answer.
- 03 · Control gapNothing ties the claim back to a real source.
- 04 · FailureA fabricated fact ships as if it were verified.
- 05 · ConsequenceThe false claim reaches a customer, a court, or the public.
Confidence holds, and even spikes, as the claim detaches from any source.
The Grok AI model hallucinated fictional legal citations and norms, presenting them as factual authority. The lawyer failed to verify the accuracy of these citations before submitting them to the tribunal.
What it cost
Sources
- Reader-SubmittedAI Hallucination Databasedamiencharlotin.com
- PrimaryFictitious Citations in Canadian Courtscourtready.ca
Cite this entry
https://failureindex.ai/failures/law-society-ontario-lawyer-fined-150AI Failure Index. "Law Society of Ontario lawyer fined 31,150 CAD for Grok hallucinations" (FI-0579). Realm Labs. https://failureindex.ai/failures/law-society-ontario-lawyer-fined-150 (indexed Jun 16, 2026).Data fields CC-BY 4.0, prose citation permitted. Incident ID FI-0579. Full dataset at /data.
Note from Realm Labs, the Index steward
How Realm would have caught this
- Prism
- OmniGuard
- AI Detection & Response (AIDR)
A runtime layer that watches the model's internal state can flag the moment a model commits to a claim it has no support for, and hold or reroute the response before it reaches a user. Realm reads those signals in real time rather than grading the transcript after the fact.