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CONTENT released online between 1 April 2010 and 24 August 2018 or content that has been selectively archived and is no longer active.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.Beginning in early 2012 the topic of Technology-Assisted Review began the gradual move from expert-led explanations to mainstream mentions in eDiscovery articles, opinions, surveys and reports. ComplexDiscovery has tracked many of these explanations and mentions as part of its daily eDiscovery coverage on Twitter via @ComplexD and weekly eDiscovery coverage as part of Weekly eDiscovery Top Story Digest newsletter updates. Provided below for your research, review and consideration are a compilation of key headlines and links from online sources on the topic of Technology-Assisted Review during November 2013.
Technology-Assisted Review Related Articles/Posts
NOVEMBER 2013
- Why Litigators Need to Learn Statistics (Statistical Sampling) – http://bit.ly/1ikSyLA (Maureen O’Neill)
- Data Analytics Steal the Show at DC Technology in the Law Symposium – http://bit.ly/1ikSawH (Sandra Serkes)
- A Systems Approach to E-Discovery – http://bit.ly/1hVDFPt (Herb Roitblat)
- Statistics and Sampling for eDiscovery: Glossary and FAQ – http://bit.ly/1b1nYjv (Herb Roitblat)
- The Impact of IBM’s Watson on eDiscovery –http://bit.ly/186yTus (Ron Friedmann)
- Your Lawyer is a Robot – The Globe and Mail – http://bit.ly/1aYhX7m (Shelley White)
- Blending Early Data Assessment and Predictive Coding for More Effective E-discovery – http://bit.ly/1ickvVI (LegalTalk Network)
- The Implications Of Rule 26(g) On The Use Of Technology-Assisted Review – (PDF) http://bit.ly/1ikWyeW (Karl Schieneman, Thomas Gricks)
- Less Is More: When it comes to Predictive Coding Training, Fewer Reviewers the Better –http://bit.ly/IoDQlV (Ralph Losey)
- How Document Viewing is Key to Effective eDiscovery in the Legal Market – Innovation Insights – http://wrd.cm/1hNPPtC (Ned Averill-Snell)
- Q&A: Evolution of Predictive Coding Technology in Information Governance – http://bit.ly/1bRSKMN (Ben Cole)
- EDI-Oracle Study: Humans Are Still Essential in eDiscovery – http://bit.ly/1hWRjC8 (Monica Bay)
- IBM Preps Artificial Intelligence in Cloud, and eDiscovery asks “Can we have a Bite?” http://bit.ly/18PeOn9 (Gregory Bufithis)
- Using Technology Assisted Review in the Right Cases and in the Right Way – http://bit.ly/183MzGM (John Eustice)
- Subject Matter Experts: What Role Should They Play in TAR 2.0 Training? http://bit.ly/18IGHNo (J. Tredennick)
- Legal Search Science – http://bit.ly/18Iz9KJ (Ralph Losey)
- The Effectiveness of Technology Assisted Review – FindLaw – http://bit.ly/1gN69cT (Caitlin Murphy)
- Tolson’s Three Laws of Machine Learning | eDiscovery101 – http://bit.ly/1dY2pBI (Bill Tolson)
- Technology: Predictive Coding and Total Time & Cost to ECA – http://bit.ly/HyXT0I (Bill Tolson)
- Risk Sampling: The Key to a Successful Audit and Monitoring Program – http://bit.ly/1b1vT0W (Mike Volkov)
For a complete listing of articles published on ComplexDiscovery.com since February 2012 (LTNY 2012) until now, click here.
Additional ComplexDiscovery Resources on Technology-Assisted Review
- Technology-Assisted Review: From Expert Explanations to Mainstream Mentions – http://bit.ly/1cDhHKB (@ComplexD)
- Got Technology-Assisted Review? A Short List of Providers and Terms – http://bit.ly/YuyY5y (@ComplexD)
- Predictive Coding One-Question Provider Implementation Survey – Running Results – http://bit.ly/18XGeXI (@ComplexD)
- Technology-Assisted Review and Biomet: Approaches And Critiques – http://bit.ly/ZmCrCw (@ComplexD)
- An Update: Peck, Parties and Predictive Coding – http://bit.ly/ZjLIYi (@ComplexD
- Considering Machine Learning: Three References – http://bit.ly/XATPPi (@ComplexD)
- Predicting Discovery? Initial Results of 120-Second Provider Predictive Coding Survey – http://bit.ly/XirAVh (@ComplexD)
Click here to provide additions, corrections and/or updates. Source: Public Domain Information