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EDRM Announces Special Masters and eDiscovery Mediation Bench Book

Setting the global standards for e-discovery, the Electronic Discovery Reference Model (EDRM) is pleased to announce the Public Comment Period for Version 1.0

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Machine Learning and AI Use in the UK for eDisclosure | Ipro Tech

I recently recognized the 10-year anniversary of now retired New York Magistrate Judge Andrew J. Peck issued the ruling in the Da Silva Moore case that was the first court approval of.

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[Virtual Event] He's back on the bench! TAR on Trial: From Da Silva Moore to Today - June 8th, 1:00 pm - 2:00 pm ET | Association of Certified E-Discovery Specialists (ACEDS)

A Relativity Legal Education Webinar for CLE Credit brought to you by the Association of Certified E-Discovery Specialists (ACEDS) He’s back on the bench! Join us for a mock e-discovery hearing on technology assisted review (TAR) where the Honorable Andrew J. Peck, Senior Counsel at DLA Piper and retired United States Magistrate Judge, will be presiding. Alicia Hawley, Discovery Counsel and Chair of the eDiscovery and Litigation Services Group at Taft Stettinius & Hollister LLP will face-off against David Horrigan, Discovery Counsel and Legal Education Director at Relativity. They’ll debate the vital TAR issues of the day, and Judge Peck will opine on the arguments. We’ll also examine the jurisprudence of TAR, including Alicia Hawley’s recent work in Livingston v. City of Chicago and Judge Peck’s TAR decisions, including Da Silva Moore v. Publicis Groupe, Rio Tinto PLC v. Vale S.A., and Hyles v. City of New York. Join us to get your CLE credit, and have some substant

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A Chief Legal Officer's Guide to AI-Based eDiscovery and Analytics | ZyLAB

Introduction As a Chief Legal Officer (CLO), you wear a number of different hats. You’re responsible for managing your organization’s risk profile in both legal and regulatory compliance issues, overseeing current matters, and supervising the legal department and on top of that, you need to dedicate a substantial portion of your time to strategic guidance for the rest of the business. If you feel like you’re stretched too thin, you’re not alone. But there’s a willing assistant ready to help you out whenever you ask. This assistant doesn’t mind drudgery and will never complain about doing the same task over and over (and over). Nor does this helper shy away from massive reams of data in fact, this assistant needs that data to do its job. We’re talking, of course, about artificial intelligence (AI), which can streamline work processes, knock out repetitive tasks with ease, and sift through piles of data in short order, highlighting the potentially interesting portions f

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