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ARTICLE · 09 NOVEMBER 2026

AI In EDiscovery: Knowing When And How To Use It

A&O Shearman
A&O Shearman
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Modern eDiscovery platforms offer an expanding array of AI-powered tools, but knowing when and how to combine them is critical for defensible, efficient document review. This article examines strategic approaches to integrating generative AI with traditional eDiscovery methods, while identifying scenarios where AI may not be the optimal solution.

United KingdomTechnology
Christina Zachariasen
Christina Zachariasen
Daniel Smith
Daniel Smith
Natalie Lau
Natalie Lau
Author LinkedIn connections

The first article in this series introduced various AI-powered tools available in modern eDiscovery platforms. This article explores how to combine tools for maximum effectiveness and when to resist the temptation to deploy AI.

Maximizing efficiency by combining tools

Well before generative AI, eDiscovery involved selecting and combining the best technologies for each case. Generative AI does not change this. It expands the range of tools available—and makes effective workflow design even more important. The challenge: understanding where AI adds value, where traditional approaches are better suited, and how to combine technologies to deliver more efficient, accurate, and defensible reviews.

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