Editor’s Note: This article was chosen in a blind competition by the Arizona State University-Arkfeld E-Discovery and Digital Evidence Conference. The three winners have been invited to present their papers during the conference, which will be held March 12-14 at ASU’s Sandra Day O’Connor College of Law, in Tempe, Ariz. See also, “Vendor Voice: Yes, Counselor, There Will Be Math.“
Today, much of the electronic data discovery industry is racing to improve predictive coding, which is but one approach to technology-assisted review—and one with inherent limitations. Instead of refining predictive coding, tomorrow’s innovative EDD technology game changers will employ computational linguistics, data mining, language translation, corpus-based content analysis and case specific information supplied in the form natural language inquiries.
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