Data analytics can play a huge part in reducing the overall size, time, and cost of a review project. When applied effectively, analytics not only help identify relevant data sets more efficiently but also aid in culling down data to a manageable size. With today’s evolving tech landscape , eDiscovery analytics tend to be powered by machine learning and AI technology.

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Once the data has been identified through appropriate data mapping techniques, and defensibly collected by a certified forensic examiner the data moves onto the next stage within the electronic data reference model (EDRM). Following collection, the data will need to be processed for electronic discovery and further review. This can include converting file types into archivable structured formats to maintaining the files in native format for review.

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