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03 July 2026
Issue: 8168 / Categories: Legal News , Artificial intelligence , Employment , Tribunals , Technology
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NLJ this week: AI grievances demand human judgement

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Artificial intelligence may draft workplace grievances, but employers cannot treat them any differently from conventional complaints

Writing in NLJ this week, Andrew Diver of Fox & Partners examines the growing number of AI-generated employment disputes after a tribunal uncovered fabricated authorities produced by ChatGPT. He warns that AI-generated grievances often contain invented case law, confusing legal jargon and factual inaccuracies, yet employers must still investigate them fairly under the ACAS Code.

Diver argues that everyone remains responsible for checking accuracy, regardless of whether AI was used, and cautions against relying on AI detection software.

With tribunals increasingly confronting AI ‘hallucinations’, he calls for authoritative guidance on verification, evidential weight and sanctions. His conclusion is stark: ‘The AI-generated grievance is here to stay’ and practitioners must be ready. 

MOVERS & SHAKERS

Bell Yard Kysen—Liz Giles

Bell Yard Kysen—Liz Giles

Bell Yard Kysen appoints senior legal PR and ex-government communications adviser, Liz Giles

Clarke Willmott—Lee Edwards

Clarke Willmott—Lee Edwards

Clarke Willmott boosts Southampton commercial property team with addition of partner Lee Edwards

Lime Solicitors—four promotions

Lime Solicitors—four promotions

Lime Solicitors announces four promotions

NEWS
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The Environment Agency can prosecute offences beyond environmental legislation where proceedings support its statutory functions, the Divisional Court has confirmed
Should a conviction stand when a later ruling reveals that the law underpinning it was wrong? The answer exposes a clash between finality and justice
Witness evidence can be compromised by AI before a solicitor sees the draft, leaving safeguards focused on authorship incomplete
Possession claims are entering a new digital era, with procedural traps awaiting practitioners who assume familiar rules still govern every step
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