Sanction teardown · Régie des alcools, des courses et des jeux du Québec, Canada · 2026-06-09
9232-6271 Québec inc. (Camping Ste-Justine)
What happened
In Régie des alcools, des courses et des jeux du Québec, Canada, a filing relied on an unnamed/unconfirmed AI tool to help draft legal argument. The court identified the following problems with the citations in that filing:
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Misrepresented (Doctrinal Work)The AI-generated memorandum contained inaccuracies and errors in the interpretation of legal concepts; the Tribunal found the document unreliable as a whole and excluded it, but did not identify the specific erroneous passages.
Which AI tool
an unnamed/unconfirmed AI tool. Note: Charlotin's public database records tool attribution only where a court order, brief, or reporting on the matter states it explicitly; "unidentified" or "implied" means the record indicates AI use but does not name a specific product — we do not guess.
Outcome
The objection was sustained and the AI-generated memorandum was excluded; the bingo licence application was rejected on independent eligibility grounds.
Additional detail
The applicant’s representative admitted that the memorandum submitted to the Tribunal had been generated using generative AI, although she had located and submitted the three cited Tribunal decisions herself. The Contentieux identified inaccuracies in the document’s interpretation of legal concepts. The Tribunal held that the errors undermined the reliability of the entire memorandum, sustained the objection, and refused to consider it. The three cited decisions were independently verified and were not excluded. The licence application was ultimately rejected because the applicant was a for-profit corporation and had not established that it was a charitable organization.
How Citation Safe would have caught this
Citation Safe runs three deterministic layers before a brief is filed: (1) does the citation exist against CourtListener's database of published opinions, (2) if quoted, does that exact language appear in the source, (3) does the cited case actually support the proposition it is cited for. Fabricated case citations fail Layer 1. Fabricated or misattributed quotations fail Layer 2 even when the underlying case is real. Misrepresented holdings — a real case cited for a proposition it does not support — are the target of Layer 3. None of these checks involve asking another language model whether the citation looks right; they are lookups and text-matches against the actual source, which is why a hallucinated citation has to survive a direct lookup against the authoritative source — not another model's opinion — to earn a VERIFIED stamp; our measured false-verify rate is published live at /quality.
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Source: https://www.damiencharlotin.com/documents/3264/9232-6271-Quebec-inc.-Camping-Ste-Justine-2026-QCRACJ-230.pdf, via Damien Charlotin's public AI Hallucination Cases Database (CC0).