Elsewhere in the portfolio of the Israel-based company are other similarly important patents to the e-discovery process, including methods for enhancing expert system processes. While Rajesh Jha's blog post focused on the e-discovery process, Equivio has described for its own customers in the past a sophisticated machine learning system, compiling relevance statistics for accumulated nodes in the stream assessment process that help the system ascertain the relevance of future documents as they are acquired.
That system involves predictive coding, which in this context is a way of fast-tracking elements of documents that are more likely to be relevant to a search. Imagine a client company building its own "local Google" on-premise, using automatic processes that Equivio says save its clients millions of dollars over hiring data scientists to make assessments themselves.
Microsoft declined to go into further detail Tuesday about the relevance of Equivio's patents to its future products and services, though a spokesperson did issue this statement: "We intend to incorporate Equivio's technologies into products coming from Microsoft. We will share more on this in the near future. We are fully honoring Equivio's existing agreements with current customers and partners, and look to continuing working with all these players moving forward."
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