http://ow.ly/c7lqx
An article by Greg Buckles posted on the eDiscovery Journal website.
This article examines technology, and discusses methods that can be utilized to expand the practice of "predictive coding" to assist with the eDiscovery process as a whole. The article discusses the use of techniques that can be used over a series of matters for the same corporate data, thus reducing the overall cost burden associated with eDiscovery, and the attorney review process. The article discusses specific data analytics that can be applied in means that aren't just limited to the attorney review phase of litigation. Although it mentions that eDiscovery technologies, which provide data visualization capabilities such as clustering, in conjunction with machine learning and data analytics, have yet to see widespread adoption by corporate law departments.
The article states, "Customers seem more comfortable using this integration of technology and workflow to better organize, cull and analyze collections to maximize review quality and efficiency. This matches what we have seen with our corporate and law firm consulting clients. The extension of analytics beyond the pure relevance review is an encouraging sign of our slowly maturing market. eDiscovery pushes innovation in high risk/cost matters because the stake justify the budget. These innovations then migrate to other markets like information governance, retention management and big data business intelligence."
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