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Language-Based Knowledge Extraction Can Reform Document Review

As the amount of data in discovery continues to escalate, easing the pain, time and cost of document review during e-discovery remains a leading goal for organizations and their legal teams. Forward-looking organizations are seeking deeper insight into their data, along with ways to leverage current review for future uses. Over the years, attorneys and providers have experimented with many different approaches, processes and technologies to manage document review, yet they find themselves still struggling to manage data effectively and defensibly.'

In this environment, an emerging market trend ' language-based knowledge extraction ' holds the promise of greater strategic insight, improved efficiencies and cost-saving advantages during document review. Knowledge extraction achieves the objective of identifying relevant documents and understanding what those documents actually say at the beginning of the review process as opposed to the end.

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