J. David Morris

There has been a confluence of e-discovery software, case law and information technology integration, which have all helped shape today’s e-discovery market. As we look toward the future, we ask ourselves how to continue to optimize e-discovery to intelligently reduce data volumes, efficiently decrease collection quantity and streamline the review process, while also delivering the highest possible document accuracy, reliability and repeatability. Finding electronically stored information (ESI) is becoming more challenging. To complicate matters further, attorneys are expanding discovery motions to include new ESI repositories, such as SharePoint and other collaborative tools. So, how can the problem be addressed to balance the opposing constraints of ESI volume, e-discovery expense and relevant document precision and accuracy? The answer is simple, but will be challenging to implement. The future e-discovery arms race is in the development of advanced, intelligent analytics capabilities. In other words, it is all about the semantics.

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