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Results for: Quality

  • Maureen O'Neill
    by Maureen O'Neill
    December 1, 2011

    Mac E-Discovery in a Windows World: Apples to Apples?

    I have worked on several matters involving data collected from Macs with a trusted partner, BlackBag Technologies. They are an industry leader, providing Mac-based forensic and e-discovery data solutions. I co-authored this post with Paul Jordan, BlackBag’s VP of Corporate Development, who helped me advance my knowledge of why Mac e-discovery should be handled differently than Windows

  • Jim Wagner
    by Jim Wagner
    November 17, 2011

    Taking the Time to Get it Right… DiscoverReady Team Holds Summit on Quality in Document Review

    Year-end is hectic with client demands and financial and operational planning for 2012. As we improve our practices, we incorporate the best planning, process, automation and sampling so we can deliver the highest levels of quality and defensibility in document review. Busy senior-level team members discuss quality in document review.

  • Maureen O'Neill
    by Maureen O'Neill
    October 20, 2011

    Court approval of predictive coding? Not quite, but close.

    Litigants and counsel considering the use of predictive coding and automated document review shouldn’t wait for a court decision to bless them first.  In an apparent case of great minds thinking alike, Magistrate Judge Peck of the Southern District recently echoed Jim’s thoughts in a Law Technology News article.

  • David Shub
    by David Shub
    May 25, 2011

    Evidence of the imperfection of human review continues to grow. Now what?

    Integrating software into a review process that is sound, defensible and affordable is both an art and a science. David proposed a robust quality control process to strike a balance between the art and science.

  • David Shub
    by David Shub
    December 1, 2010

    Reflections and Insights on Quality in E-discovery Document Review

    David shares his thoughts on the critical elements of a quality document review process, from statistical sampling of documents to identifying and correcting systemic review errors.

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