Sanction teardown · BC WCAT, Canada · 2026-08-06
A2501881 (Re)
What happened
In BC WCAT, 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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Fabricated (Legal Norm)The worker attributed a quotation about relevant new evidence to item 22.4.3 of WCAT’s MRPP. Because item 22.4.3 does not exist, the attributed authority was fabricated.
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False Quotes (Doctrinal Work)The worker attributed a quotation concerning investigators considering the full context and evolution of bullying and harassment to page 44 of Towards a Respectful Workplace. The panel searched the publication, including page 44 and following pages, and could not find the quotation.
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False Quotes (Doctrinal Work)The worker attributed a second quotation concerning bullying and harassment as a pattern of behaviour to page 44 of Towards a Respectful Workplace. The panel found that this quotation also did not appear in the publication.
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Fabricated (Legal Norm)The worker cited items 22.4.1 and 22.4.3 of WCAT’s Manual of Rules of Practice and Procedure, but the MRPP ends at item 21.4. The panel found that the cited provisions do not exist.
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
Warning
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/3215/A2501881_v_Canada_06-08-2026.pdf, via Damien Charlotin's public AI Hallucination Cases Database (CC0).