|Technology-Assisted Review in E-Disovery Can Be More Effective and More Efficient Than Exhaustive Manual Review
by Maura R. Grossman & Gordon V. Cormack
E-discovery processes that use automated tools to prioritize and select documents for review are typically regarded as potential cost-savers – but inferior alternatives – to exhaustive manual review, in which a cadre of reviewers assesses every document for responsiveness to a production request, and for privilege. This Article offers evidence that such technology-assisted processes, while indeed more efficient, can also yield results superior to those of exhaustive manual review, as measured by recall and precision, as well as F1, a summary measure combining both recall and precision. The evidence derives from an analysis of data collected from the TREC 2009 Legal Track Interactive Task, and shows that, at TREC 2009, technology-assisted review processes enabled two participating teams to achieve results superior to those that could have been achieved through a manual review of the entire document collection by the official TREC assessors.
- Move Over Watson, Automated Document Review Has Arrived(abovethelaw.com)
- e-Stet Frees the Document Review Bottleneck Using Equivio’s Predictive Coding Technology (prweb.com)
- Judge Peck Calls Upon Lawyers to Use Artificial Intelligence and Jason Baron Warns of a Dark Future of Information Burn-Out If We Don’t (e-discoveryteam.com)