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Cut Legal Review Bills in Half with Predictive Coding

A just-released industry survey by the eDiscovery Institute[1] showed that using predictive coding can cut legal review bills by 45 percent on average and sometimes by 70 percent or more.

Predictive coding involves reviewing a sample of documents and then using software to extend those decisions to other documents. The biggest savings can come when records can be deemed relevant or nonresponsive without having to visually examine each of them. However, predictive coding systems often rank records according to how likely they are to be responsive, and another form of saving is when the documents that appear to be the least likely to be responsive are allocated to the lowest level, least costly personnel to review, reserving the "hotter" documents for more senior people.

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