Equivio, known for managing data redundancy, announced the launch of “Relevance,” a system designed to enhance the e-discovery process by automatically prioritizing documents. But Equivio learned from the 2008 Text Retrieval Conference, or TREC, and incorporates expert human guidance in Relevance.
At base, Relevance takes input from a lead attorney and uses statistics and self-learning techniques to calculate relevance scores for each document in a data collection. This, combined with a statistical model to calculate precision and recall, aims to provide a new level of measure and control for e-discovery -- but one ultimately guided by a legal team.
Relevance also generates a list of key words that characterize the documents in a collection. A legal team can use these to enhance its original set of keywords and home in on relevance.
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