Magazine article Information Management

Study: Best E-Discovery Review Requires Humans and Technology

Magazine article Information Management

Study: Best E-Discovery Review Requires Humans and Technology

Article excerpt

Before choosing technology-assisted review (TAR) over human review, consider that the best systems for e-discovery include a combination of people and software, new research has revealed.

The joint project by nonprofit Electronic Discovery Institute (EDI) and Oracle Corp. found that TAR is often faster and cheaper when identifying relevant documents. However, when it comes to identifying privileged or sensitive information, human reviewers outperform machines, the research shows.

While software programmed to identify responsive documents could cut up to 80% from firms' discovery expenses, researchers found that privileged and "hot" documents that require conceptual knowledge rather than keyword searches or predictive coding are better reviewed by humans skilled in the practice area.

"It's not a magic bullet. Nobody says that predictive coding is a good way of finding privileged documents, but it's a good supplement if you're using it for quality control," TAR proponent U.S. Magistrate Judge Andrew J. Peck of the Southern District of New York told Legaltech News. …

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