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Compiled by Citation Safe (Digital Empire Holdings LLC) from the court’s published sanction order (decided August 19, 2026). Quotes and case details come from the order itself — check the primary source before relying on them.

Sanction teardown · BC WCAT, Canada · 2026-08-19

A2601612 (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:

  • False Quotes (Exhibits & Submissions)
    The worker quoted passages as being from the MRPP, but the tribunal could not find those passages in the original text. The vice chair treated the quotations as inaccurate and unverified, likely generated by an AI service.
  • Misrepresented (Legal Norm)
    The worker asserted that current Workers Compensation Act section 96(1) required WCAT to order WorkSafeBC to make an adjudication. The tribunal found that current section 96(1) concerns suspension of occupational health and safety certificates; its different historical function under the former 1996 Act did not support the worker’s position.
  • Fabricated (Exhibits & Submissions)
    The worker attributed to MRPP item 3.1.2 a principle that WCAT could overturn a Review Division refusal and refer the matter back on its merits. The tribunal found that item 3.1.2 instead concerns whether certain assessment or monetary-penalty decisions can be appealed.

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.

Check a brief before you file it → · See our live false-verify rate

Source: https://www.damiencharlotin.com/documents/3221/A2601612_v._WCAT_Canada_19-08-2026.pdf, via Damien Charlotin's public AI Hallucination Cases Database (CC0).