Sanction teardown · Social Security Tribunal, Canada · 2025-12-24
JF v Canada Employment Insurance Commission
What happened
In Social Security Tribunal, 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 (Case Law)Appellant cited 'Gagnon v Canada, 1999 FCA 8976' which does not exist; tribunal found only Helsi Construction Management Inc. v Canada (Attorney General), 1999 CanLII 8976 (FCA) under that number and held it was unrelated, so the cited authority could not be considered.
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Fabricated (Case Law)Appellant cited 'Lafleur v Canada, 2004 FCA 155' which does not exist; tribunal found the citation corresponds to Séguin v Canada, 2004 FCA 155, which is unrelated and thus the cited authority could not be considered.
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Fabricated (Case Law)Appellant cited 'Kienast v Canada, 2004 FCA 128' which does not exist; tribunal found the citation leads to Fraser v Canada (Attorney General), 2004 FCA 128, which is unrelated and therefore not relied upon.
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Fabricated (Case Law)Appellant cited 'Lussier v Canada, 2005 FCA 91' which does not exist; tribunal found the citation corresponds to Fernandopulle v. Canada (Minister of Citizenship and Immigration), 2005 FCA 91, unrelated to antedating, so it could not be considered.
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
Not specified in source record.
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/1747/JF-v-Canada-Employment-Insurance-Commission-2025-SST-1390.pdf, via Damien Charlotin's public AI Hallucination Cases Database (CC0).