A Crash Course on Analytics in eDiscovery: What's Available, How It Works, and When to Use It

Litigators face myriad challenges when representing clients in investigations and litigation; chiefly how quickly can they move through large sets of data to determine case strategy and the relevant documents which support it. In comes Analytics to the rescue.

From email threading to communication analysis, from single active learning to continuous active learning to portable models, from a simple cluster wheel to advanced clustering and data visualizations, litigators have a variety of tools to find the answers they need to represent their clients. We will explore some of the tools, their functions, and how to leverage them.

Learning Objectives:

1. Analyze why analytics are used in eDiscovery

2. Discuss how analytics work in eDiscovery

3.  Explore the advanced features of analytics and their use in eDiscovery