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2018 eDiscovery Case Law Review, Part 3

With 2019 just upon us, it is a great time to look back on last year’s most influential eDiscovery cases.  Part three of this four-part series discusses impactful decisions concerning search and retrieval.
 

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Efficient and Effective eDiscovery Uses Continuous Active Learning (CAL)

Most document review today uses some form of technology-assisted review (TAR). TAR uses computer software to categorize documents as responsive or nonresponsive, based on human review of a subset of documents from the collection. TAR includes the capability to prioritize documents on a scale of most to least likely to be responsive, allowing human reviewers to manually review an ever-decreasing volume of documents.

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