Rob Robinson | The ComplexDiscovery Blog

A technology blog highlighting data and legal discovery insight and intelligence.

    Activity Patterns for eDiscovery Mergers, Acquisitions, and Investments (2001-2017)

    Activity Patterns for eDiscovery Mergers, Acquisitions, and Investments (2001-2017)

    Since beginning to track the number of publicly highlighted merger, acquisition, and investment (M&A+I) events in the eDiscovery ecosystem, ComplexDiscovery has noted more than 300 M&A+I events between November 2001 and today. The following article highlights the pattern of these activities on an annual and monthly basis.

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    An Abridged Look at the Business of eDiscovery: Mergers, Acquisitions, and Investments

    An Abridged Look at the Business of eDiscovery: Mergers, Acquisitions, and Investments

    The presented listing highlights key industry business moves by sharing the announcement date, acquired company, acquiring or investing company, and acquisition amount (if known) of significant eDiscovery-related mergers, acquisitions, and investments.

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    A Running List: Top 100+ eDiscovery Providers

    A Running List: Top 100+ eDiscovery Providers

    Based on a compilation of research from analyst firms and industry expert reports in the electronic discovery arena, the following “Top 100+Provider” list provides a short listing that may be useful in the consideration of eDiscovery providers. This listing is taken primarily from eDiscovery provider mentions in selected key formal industry reports and surveys published between August 2011 and today.

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    Validated Market Opportunities for 2017: SaaS-based Legal and Data Discovery Automation

    Validated Market Opportunities for 2017: SaaS-based Legal and Data Discovery Automation

    In 2017, the challenge for technology providers in the legal and data discovery spaces appears to be less about defining offering requirements and validating market needs and more about developing and delivering solutions that focus on specific tasks and processes that streamline the discovery of data and the conduct of eDiscovery.

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    A Concise Framework for Discovery Automation

    A Concise Framework for Discovery Automation

    One of the biggest challenges facing information, business, and legal professionals is the ability to cohesively consider the elements of data discovery and legal discovery within a technology framework that is comprehensive enough to address critical discovery tasks throughout information and legal lifecycles yet concise enough to be realistically approached from an automation perspective.

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    industry

    BIA Acquires U.S. Legal Support’s eDiscovery and Computer Forensics Division

    Acquisition will provide U.S. Legal Support’s clients with BIA’s comprehensive eDiscovery services.

    Business Intelligence Associates, Inc., (BIA), a leading national eDiscovery service provider celebrating its 15th anniversary, announced today that it has acquired the eDiscovery and Computer Forensics Division of U.S. Legal Support, Inc., a national court reporting, record retrieval and litigation services company.

    In acquiring U.S. Legal Support’s eDiscovery Practice, BIA brings its state-of-the-art, comprehensive eDiscovery services and solutions to those clients, featuring innovative technologies, advanced workflows and outstanding customer service. BIA has also partnered with U.S. Legal Support to ensure that U.S. Legal Support’s clients continue to have access to the best eDiscovery services and solutions available.

    “We are excited to welcome U.S. Legal Support’s eDiscovery and Computer Forensics professionals to the BIA team, and we look forward to introducing exciting new services and solutions to U.S. Legal Support eDiscovery Practice clients,” said Brian Schrader, BIA’s president and CEO. “From integrated legal hold and remote data collection solutions to our domestic attorney review services, U.S. Legal Support clients now have access to comprehensive solutions that cover every aspect of the eDiscovery process in one place.”

    BIA has extensive experience working with both corporations and law firms, and this acquisition will position it to reach more law firms – helping them implement successful and efficient eDiscovery solutions that require less time and financial investment.

    “This strategic partnership provides us the opportunity to focus our resources on court reporting, record retrieval and trial services, while ensuring our clients are afforded the most advanced eDiscovery tools available,” said Charles F. Schugart, president and CEO of U.S. Legal Support. “Working with BIA allows us to expand our eDiscovery service offering to existing customers, who have a growing need for these services in today’s digital society. We are looking forward to working with BIA in furtherance of our commitment to provide a complete solution to our client’s litigation needs.”

    About BIA 
    Celebrating its 15th anniversary as an industry pioneer, BIA continues to set the standard for reliable, innovative and cost-effective eDiscovery services. Its customer-first focus has resulted in countless innovations copied widely across the industry today. From technical innovations like truly remote data collections and the first cloud-based, end-to-end eDiscovery platform to service revolutions like reusing data and coding across matters and hiring dedicated, full-time employees for document review, BIA consistently stands at the leading edge of the industry. Founded by legal and technology professionals, BIA provides the entire spectrum of eDiscovery services – including attorney document review – with minimal disruption to its clients’ daily business operations. To learn more, visit BIA at http://www.biaprotect.com or on Twitter at @biaprotect.

    About U.S. Legal Support 
    U.S. Legal Support, Inc., founded in 1996, is a privately held company with over 75 offices located across the United States. As one of the leading providers of litigation services, it is the only litigation support company that provides court reporting, record retrieval and trial services to major corporations and law firms nationwide.

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    Gartner Analyst Predicts Doom for On-Premises Data Centers

    Extract from article by Andy Patrizio

    Enterprise software’s days are numbered, and if you don’t adopt artificial intelligence (AI) and machine learning, your data center will be useless.

    Those are the claims of Gartner Research Vice President Milind Govekar, who gave a presentation at Gartner’s annual conference for IT infrastructure operations professionals recently in Las Vegas.

    Govekar said that as soon as 2019, at least a third of the largest software vendors will have transitioned their products from cloud-first to cloud-only. Although he didn’t mention it by name, you have to think Microsoft is in that category because it is already cloud-first with its enterprise apps. Office 365 already outsells the packaged Office 2016, so I can see a major de-emphasis of the client product in the coming years.

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    Analysis of Important New Case on Predictive Coding by a Rising New Judicial Star: “Winfield v. City of New York”

    Extract from article by Ralph Losey

    Judge Parker’s Order in Winfield v. City of New York (15-CV-05236) resolved a discovery dispute, which, among other things, challenged the Defendant City’s predictive coding process, in other words, it’s machine learning search. That challenge involved issues of transparency and relevance. Experts on predictive coding were apparently involved (although it looks like they were not retained until fairly late in the dispute). At that point the issues became much more technical and sophisticated. The plaintiffs wanted to know more about the defendant’s machine learning process, and the defendant did not want to share that. Instead, defendant invoked the attorney work-product secrecy cloak and good old, and I mean old, Sedona Principle Six. Protecting the Fourteen Crown Jewels of the Sedona Conference in the Third Revision of its Principles (my article requesting that Principle Six be updated).

    Judge Parker then went hands-on, as a good judge should, and required in camera submissions. Then, after she was fully informed, she rendered this decision. Textbook procedure for how to resolve complex e-discovery issues. Note especially that she did not need expert testimony, nor a mini-trial, nor extensive discovery about discovery, to render her decision. These are all things that many naysayers on predictive coding all said would happen. Aside from the ill-fated expert testimony for days on end by Dave Lewis and Dan Regard in Kleen Products back in 2012, it hasn’t happened. Kleen Products, LLC, et al. v. Packaging Corp. of Amer., et al.Case: 1:10-cv-05711, Document #412 (ND, Ill., Sept. 28, 2012).

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    industry

    BIA Acquires U.S. Legal Support’s eDiscovery and Computer Forensics Division
    BIA Acquires U.S. Legal Support’s eDiscovery and Computer Forensics Division

    Business Intelligence Associates, Inc., (BIA), a leading national eDiscovery service provider celebr…

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    Insight

    The Top Issue Impacting eDiscovery Business Performance: Budgetary Constraints (Fall 2017)
    The Top Issue Impacting eDiscovery Business Performance: Budgetary Constraints (Fall 2017)

    In the Fall of 2017, 31% of respondents viewed budgetary constraints as potentially having the great…

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    Newsletters

    Five Great Reads on Information Governance and eDiscovery: From Events and Education to Client and Software Considerations
    Five Great Reads on Information Governance and eDiscovery: From Events and Education to Client and Software Considerations

    This edition of the newsletter highlights five key posts on information governance and electronic di…

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