The annual e-discovery and legal technology show kicked off yesterday morning. Wortzman Nickle were there to see what’s hot, what’s not and what’s the same.
As expected, Predictive Coding led the charge of buzz words once again this year. Many vendors offered their flavour of machine learning technology. However, some vendors appear to have realized, as we have, that Predictive Coding alone will not solve the dilemma of ever increasing e-discovery volumes and ever decreasing budgets and timelines. These forward thinking software developers are now integrating Predictive Coding into a package that includes all the tried and true e-discovery technologies, such as concept clustering, near duplication, email threading, and our trusted friend, keyword searching.
While there are many claims of unique Predictive Coding approaches, they all generally fall into one of two main categories – either quickly teach the computer up front what you’re looking for and then have it find your relevant documents, or let the computer observe as you search and find relevant documents using other methods, so that it can subtlety influence the result and present you with more likely relevant documents to review. Both methods should theoretically end up with the same results.
Wortzman Nickle will be exploring these two approaches over the next couple of months and report in upcoming blogs and papers on the costs and benefits of each methodology.
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