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Slidecast: Relativity – Big Data Meets Computer-Assisted Review

In this slidecast, Jay Leib from kCura presents: Relativity – Big Data Meets Computer-Assisted Review. For legal teams facing caseloads with millions of documents to review, the Relativity software effectively filters out the noise so that humans can find relevant evidence.

Using Relativity Assisted Review, you can train Relativity on relevance and key issues by coding statistically sampled subsets of documents. Relativity’s text analytics engine suggests coding decisions for the remaining documents in the case, based on the small subset of examples. You can then prioritize the relevant documents and repeat the process with a more focused sample set for increased accuracy. Review time and costs decrease rapidly when you use text analytics to magnify the efforts of your review team.”

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