ARCHIVED CONTENT
You are viewing ARCHIVED CONTENT released online between 1 April 2010 and 24 August 2018 or content that has been selectively archived and is no longer active. Content in this archive is NOT UPDATED, and links may not function.By Doug Austin
The Case for Technology Assisted Review and Statistical Sampling in Discovery (by Christopher H Paskach, F. Eli Nelson and Matthew Schwab) aims to show how Technology Assisted Review (TAR) and Statistical Sampling can significantly reduce risk and improve productivity in eDiscovery processes. The easy to read 6 page report concludes with the observation that, with measures like statistical sampling, “attorney stakeholders can make informed decisions about the reliability and accuracy of the review process, thus quantifying actual risk of error and using that measurement to maximize the value of expensive manual review. Law firms that adopt these techniques are demonstrably faster, more informed and productive than firms who rely solely on attorney reviewers who eschew TAR or statistical sampling.”