Extract from Justin Reynolds, Akshita Singhal & Lianna Vaughan’s article “What Is Predictive Coding in eDiscovery?”
Over the last decade-plus, data creation and usage have skyrocketed. Today, companies across all industries are accelerating digitalization and producing massive volumes of information. This trend doesn’t appear to be slowing down any time soon.
From a business and operations standpoint, data is a wonderful thing. But from a legal perspective, it can be a tremendous liability. This is doubly true for companies that can’t quickly search, discover, and analyze the information they are collecting.
As a result, a growing number of companies are using predictive coding to streamline the eDiscovery process for electronically stored information (ESI).
Read on to learn how predictive coding works and how it helps legal teams move faster and more efficiently during audits, investigations, and legal proceedings.
What Is Predictive Coding?
Predictive coding—or technology-assisted review—is a technology that uses machine learning and artificial intelligence to quickly access and analyze ESI. Predictive coding helps teams discover information across multiple computer systems and databases.