Review acceleration: Understanding all of your options

Which method is best depends on the case

Litigation and investigations create angst for business executives because of how they impact the bottom-line. In large part, this comes from the cost and time required to analyze data during discovery—a process known as document review—which often takes up most of the discovery budget. However, a spectrum of tools exists that accelerates document review, significantly reducing cost and time by as much as 70 percent to 80 percent. As a result, it is important to consider this spectrum before deciding how to conduct a review.

For now, the spectrum includes:

Last, but not least, is technology-assisted review (TAR). We have read a great deal about how TAR can hyper-accelerate document review, particularly in cases that involve a significant amount of data, require document review to be completed quickly or both.

The two categories of TAR include artificial intelligence-based TAR and language-based TAR. The most significant benefit of these approaches is to hyper-accelerate review, saving a great deal of time and money relative to linear review. To determine which approach is most appealing depends on the time available to train the application, and the need for transparency across the process.

Contributing Author

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Hope Swancy-Haslam

Hope Swancy-Haslam is Director of Analytics Market Development for RenewData. She has sold and delivered technology solutions for the legal market since 1992, including roles...

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