http://ow.ly/8kK46
An article by Barry Murphy posted on the eDiscovery Journal website.
This article looks at recent tests of Predictive Coding and Technology Assisted Review (PC-TAR). The article promises more information to come on this topic soon. In addition, the article looks at the success, or lack thereof, of PC-TAR, and whether or not it can be used to reduce costs.
The article states, "The lessons learned are plentiful, though not necessarily absolute – PC-TAR is new. Clearly, PC-TAR holds promise. Something that could make PC-TAR work better as a culling tool would be more targeted collections (making the overall corpus smaller, and thereby making the relevance rates higher). Too often, lawyers are conservative and cast a wide collection net. Also, if a vendor does a collection, there is no incentive to minimize and target it. In addition, the makeup of the document collection has a big bearing on whether results will be good or not. If data sets are bilingual, for example, text analysis may not work very well. Also, there is no way of doing text analysis on things like Tweets because of the abbreviations and short words, etc. There will have to be different ways to doing data analysis on this new type of data."
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