In eDiscovery, we’re used to working with technology to manage and interrogate large volumes of data efficiently, defensibly, and cost-effectively. When technology like Chat-GPT gains traction, our considerations are two-fold. We first need to understand how it might affect the types of data we collect and review for disclosure and, secondly, how it might change and hopefully improve the tools we currently use to carry out those tasks.

In this series of posts, we’ll explore why this new breed of AI differs from what has come before it, how it could be applied to the eDiscovery space, and what the roadblocks to broader adoption might be.

Read Part 1 ›
Read Part 2 ›
Read Part 3 ›

Author: Rachel McAdams is a Senior Consultant at Sky Discovery in London.