Sanction teardown · Fair Work Commission, Australia · 2026-05-08
Applications by BGIS Pty Ltd
What happened
In Fair Work Commission, Australia, 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)BGIS included an extract of clause 4.1 of the Joinery Award that contained words not found in the actual award; the Commission said the extract appeared AI-generated and undermined BGIS's submissions on coverage.
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Fabricated (Legal Norm)BGIS submitted an extract from clause 4.2 of the Building Award that did not reflect the award's terms; the Commission treated the error as AI-generated and said it made BGIS's submissions unreliable.
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Fabricated (Legal Norm)BGIS relied on content it presented as clause 4.2 of the Miscellaneous Award which the Commission found was not what clause 4.2 provides and which BGIS had not analysed correctly.
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.
Additional detail
BGIS's written submissions contained apparent extracts from several modern awards (Joinery, Building and Miscellaneous) that did not reflect the actual award texts. The Commission concluded the extracts 'appear to have been generated by an artificial intelligence tool and not checked', which made BGIS's coverage submissions unreliable and unpersuasive. Because the incorrect extracts affected the award-coverage analysis and standing, the Commission dismissed the variation applications for three employees.
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/2555/Applications_by_BGIS_Pty_Ltd_2026_FWC_1669_8_May_2026.pdf, via Damien Charlotin's public AI Hallucination Cases Database (CC0).