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Legal technology leverages advanced analytics to filter, cull and identify documents.

Analytics is a somewhat overused term in the legal technology field and can be found in all areas of the business of law, for example, most recently, the term is used in connection with lawyers and big data, but typically still, analytics refers to document analysis technologies used by attorneys to cull, filter and identify documents as part of the eDiscovery and litigation document preparation process.

How does analytics relate to eDiscovery?

eDiscovery is heavily reliant on analytics for several phases of the Nine Phases of the EDRM like the processing, review and analysis phases. Analytics in the eDiscovery process is really a bag of technologies ranging from near-duplicate document identification algorithms to concept clustering and advanced text analysis. It also includes technologies like predictive coding, which is native to most technology assisted review solutions.

In general, analytics is very helpful in the overall eDiscovery process because the methods are leveraged by attorneys to cull and filter documents from a large volume to more focused sets, helping make legal document review more efficient.