6 December 2011 — This scenario unfolds every day: your company receives a request for production of documents.  There are millions of files that are potentially relevant.  You work with IT and your eDiscovery counsel to identify, collect and defensibly filter the data set down to exclude irrelevant documents.  You use technology assisted review tools, e.g. clustering or predictive coding, to find the documents that are most likely to be relevant.  Now you have your data set…