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03 July 2026 / Andrew Diver
Issue: 8168 / Categories: Features , Artificial intelligence , Employment , Tribunals , Technology
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When AI-generated law unravels

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© Getty images

AI-generated grievances in employment disputes have quickly become an inevitability, writes Andrew Diver

  • AI-generated grievances are becoming increasingly common in employment disputes and can contain fabricated legal authorities and factual inaccuracies.
  • Employers, employees and lawyers remain responsible for verifying facts and legal references, regardless of whether AI tools were used.

Last September, the employment tribunal heard what was expected to be a typical disability discrimination claim. Instead, it was the latest in a string of employment cases which had to address the administration of justice in the age of generative artificial intelligence (AI). In Peters v Driver and Vehicle Standards Agency (Case No 3306403/2024), the claimant, Mr Peters, brought a claim against the Driver and Vehicle Standards Agency and, at first glance, his case was meticulously prepared. He had not only provided a list of authorities relied on, but submitted an additional document headed ‘Case Law’ which named and summarised the authorities and the relevant legal assertions they supported, complete with neutral references.

The only problem

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NEWS
More than 100 teams from the legal and financial services sectors competed in five sports at the 51st Law Society RFC Festival of Sport earlier this month
Part-time status need only be an effective cause of less favourable treatment, rather than the sole cause, the Supreme Court has held in Augustine v Data Cars
Britain’s new acknowledgement that Israel’s occupation is unlawful, and accompanying settlement-goods ban and sanctions, is significant but overdue, argue Danny Friedman KC and Victor Kattan in NLJ this week
New planning fee rises, wider trade union access rights and a service-by-email trap feature in Stephen Gold’s latest Civil Way
Existing defamation law can respond to AI ‘hallucinations’, but allocating responsibility will prove harder where outputs reach users without human intervention
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