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February 5, 2019

Because You Need to Know: Monthly News Round-Up for January 2019

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A monthly round-up of industry news stories, useful publications, and notable cases of which you should be aware from the preceding month

Welcome to “Because You Need to Know,” XDD’s monthly news round-up.  In these posts, we gather together interesting articles, noteworthy cases, new publications, and XDD materials from the preceding month.  This post gathers items of interest from January 2019.

Industry News Stories

Interesting topics in the news from January include a new ABA report, source proliferation, biometric device access, and GDPR impacts:

Notable Cases

New eDiscovery cases discussed in January include:

XDD Materials

XDD published five new blog articles, one new practice guide, and one new educational webinar in January:

  • Practice Guide
    • Pop Quiz: How Do You Test a Search? Using Sampling to Test Classifiers – Despite years of discussion in the eDiscovery industry about the power and importance of sampling techniques, many practitioners remain unfamiliar with what they can accomplish with them and when – outside of TAR – they might do so. Testing classifiers is an application of sampling that can be used to replace guesses about searches with measurements of them.  In addition to iteratively improving searches, it can be used to enhance discovery process negotiations, and to measure human document review.  In this free, twelve-page Practice Guide, XDD Director of Education Matthew Verga, JD, covers topics including: informal vs. formal sampling, calculating recall and precision, and figuring out your margins.
  • Educational Webinar
    • Sampling to Improve eDiscovery Searches, Estimates, and More – Despite years of discussion in the eDiscovery industry about the power and importance of sampling techniques, many practitioners remain unfamiliar with what they can accomplish with them and when – outside of TAR – they might do so.  In fact, two of sampling’s most valuable eDiscovery applications exist outside of TAR: estimating prevalence and testing classifiers.  Properly estimating prevalence can tell you much about your data and your efforts, including what to prioritize, how to proceed, and how well you’ve done.  Properly testing classifiers can facilitate the iterative refinement of searches, persuasive negotiation about searches, and more.  In this free, one-hour webinar, XDD Director of Education Matthew Verga, JD, provides an introduction to these sampling applications and walks the audience through step-by-step examples of their use.

As always, we welcome your input regarding future topics for our webinars, articles, and white papers.  Share your interests with us here.

About the Author

Matthew Verga

Director, Education and Content Marketing

Matthew Verga is an electronic discovery expert proficient at leveraging his legal experience as an attorney, his technical knowledge as a practitioner, and his skills as a communicator to make complex eDiscovery topics accessible to diverse audiences. An twelve-year industry veteran, Matthew has worked across every phase of the EDRM and at every level from the project trenches to enterprise program design. He leverages this background to produce engaging educational content to empower practitioners at all levels with knowledge they can use to improve their projects, their careers, and their organizations.

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