Applying Predictive Sampling to Reduce Costs and Increase Quality for Document Review

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The application of Predictive Sampling can significantly reduce costs, dramatically reduce review time and increase quality for document review. Predictive Sampling goes beyond basic keyword searching. It is a powerful tool that uses well established predictive analytics and classification algorithms rather than just discrete keyword searches. Unlike keyword searches, Predictive Sampling takes into account all the words in a document as well as words to exclude, along with the relationship of the words to one another to determine what is and what is not likely to be relevant. Predictive Sampling incorporates human intelligence to leverage the results of review across large document populations. Predictive Sampling can be used in a variety of workflows in several places along the EDRM lifecycle including Early Case, Accelerated Document Review and Review QC/Verification.

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