How Changes to E-discovery Can Help You in Practice

Matthew Brothers-McGrew and George Socha
A bevy of AI capabilities designed to help users find what matters most are available now and will continue to get better with time.

A bevy of AI capabilities designed to help users find what matters most are available now and will continue to get better with time.

gorodenkoff via iStock

Every client wants a satisfactory resolution out of a lawsuit, whether it is a victory at trial, an advantageous settlement, or an immediate disposition. To reach these outcomes, you need to develop an explanation of what happened first. Next, you need to persuade the decision-maker—judge, jury, arbitrator, opposing counsel, or even your client—to adopt your explanation by delivering the most compelling story you can. You must accomplish all this knowing the opposing side is doing the same. Today, more than ever, you will rely on evidence that will include electronically stored information (ESI). The concept of finding and working with ESI is commonly referred to as “e-discovery.” What follows is an overview of how to incorporate artificial intelligence (AI) into e-discovery-related work and six technologies currently changing the face of e-discovery.

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