In this piece on the blog e-discovery team USA Judge Andrew? Peck Calls Upon Lawyers to Use Artificial Intelligence and Jason Baron Warns of a Dark Future of Information Burn-Out If We Don?t
Here’s the introduction to the piece and link to full article
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This blog will report on a new article by Judge Andrew Peck endorsing the use of artificial intelligence and a recent speech by Jason R. Baron warning of a coming digital dark age of information overload. The two events, much like 7 of 9, make a compelling argument for law to embrace technology, not run from it.
Judge Peck?s Article on Predictive Coding
Judge Peck?s article brings good news to all those stressed by the costs and difficulties of e-discovery. The article shows that artificial intelligence can help alleviate this stress when it is used judiciously. Predictive Coding: Reading the Judicial Tea Leaves, (Law Tech. News, Oct. 17, 2011).
Judge Peck reviews the old days of linear paper review and is glad to see them go. He cites to the study by Herb Roitblatt, Ann Kershaw and Patrick Oot, that suggests computer assisted review is at least as accurate as manual review. Document Categorization in Legal Electronic Discovery: Computer Classification vs. Manual Review, Journal of Am. Society for Information Science & Technology, 61(1):70-80 (2010). Then he cites the study by Maura Grossman and University of Waterloo professor Gordon Cormack, using data from the Text Retrieval Conference Legal Track, which concluded that ?[T]he idea that exhaustive manual review is the most effective ? and therefore the most defensible ? approach to document review is strongly refuted. Technology-assisted review can (and does) yield more accurate results than exhaustive manual review, with much lower effort.? Technology-Assisted Review in E-Discovery Can Be More Effective and More Efficient Than Exhaustive Manual Review, Richmond J. of Law & Tech., Vol. XVII, Issue 3, 1-48 (2011).
