Tuesday, October 25, 2011

Using Lean Six Sigma and Predictive Coding to Confront Volume Problem



http://ow.ly/78O7Z

An article by Stephanie "Tess" A. Blair and Tara Lawler published on the Legal Intelligencer and appearing on law.com.

This article discusses advanced technology techniques such as "Predictive Coding" and the need to utilize them with an established and repeatable workflow process.  The article touts the use of such a strategy by the eData team of the law firm Morgan Lewis.

The article states, "The current industry standard is to use key words, deduplication and similar objective culling criteria to reduce the volume of data and then to perform a linear human review of any records that remain. Predictive coding can eliminate, escalate, categorize and prioritize records for review, thus decreasing data volumes and enhancing human review."

The article further discusses the Lean Six Sigma process, as follows:  "Lean Six Sigma is a popular process-improvement methodology that combines two known business strategies, Six Sigma system and lean manufacturing. The purpose behind Six Sigma is to identify and remove defects in a production process while lean manufacturing is a business strategy that focuses on increasing value with less work."

The article further states, "Lean Six Sigma measurements provide transparent and comprehensive metrics to show the improvements made by utilizing predictive coding in a document review, and should also provide a compelling defensibility argument for using predictive coding.:

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