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Using AI in Disclosure: a Roundtable Discussion

This article first appeared in the February 2026 issue of the PLC Magazine and is reproduced with the kind permission of the publishers. Subscription enquiries via www.practicallaw.com.

The rapid advancement of artificial intelligence is transforming how legal teams approach disclosure in litigation. Large-scale disclosure exercises have become a defining feature of modern litigation, driven by the sheer volume of electronic documents generated across email, shared drives, mobile devices and collaboration platforms. As a result, disclosure has evolved from a finite, paper-based exercise into an open-ended electronic process requiring the search and review of extensive material held across multiple systems. AI is increasingly positioned as a practical way to navigate these challenges. While predictive coding has been part of the e-disclosure toolkit for years, receiving express judicial endorsement as far back as 2016, generative AI is now emerging as a powerful and more complex addition, bringing significant potential efficiency gains alongside new questions around defensibility, transparency and accuracy.

In the February 2026 issue of PLC Magazine, FTI Consulting’s Nathalie Baker and Jason Keenan join Fiona Campbell of Fieldfisher LLP, Dan Heinrichs of Sky Discovery, and Andrew Moir of Herbert Smith Freehills Kramer LLP to discuss the evolving role of AI and generative AI in disclosure exercises. The roundtable discussion covers current adoption of predictive coding, the growing use cases for generative AI, the courts’ approach to these technologies, cost considerations, risk management, and where e-disclosure is headed in the next five years.