This article appears in KMWorld's Trend-Setting Products 2018 [Volume 27, Issue 5]

Many industries are being disrupted by machine learning, and the legal profession is no exception.

Years ago, when litigation required organizations to search their documents for relevant material, discovery was carried out by attorneys leafing through paper documents. As documents went digital, at first the process didn’t change much. Attorneys would look at documents in electronic form the same way they had looked at paper documents. But because of the ever-expanding volume of documents and the desire to limit the amount of time spent on discovery, attorneys adopted keyword search technologies. Now a process called technology-assisted review (TAR) is applying machine learning to the review of electronically stored information, with the potential to save clients time and money by avoiding the review of documents that are not relevant.

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