Our Insights on eDiscovery

Read on to learn more about the latest trends and insights in the world of digital discovery.

There’s a New TAR Case Law Primer Published by The Sedona Conference: eDiscovery Best Practices

One of the major topics discussed during last month’s panel discussion at The Masters Conference and also last week during our ACEDS webinar was the debate over the current state of judiciary acceptance of technology assisted review (TAR). Whether intentional or not, to help with that debate The Sedona Conference® has just published the Public Comment Version of a new TAR Case Law Primer.

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Here’s an Interesting Interview Conducted Using a Cool Conversation Tool: eDiscovery Trends

If you regularly read sites that discuss legal technology and other important issues for the legal profession, you’re certainly familiar with the site Above the Law, which takes a behind the scenes look at the world of law and covers it on several levels, including big law, small firms, law schools, finance, CLE and, of course, eDiscovery. Regarding eDiscovery, their latest interview gives you an opportunity to learn more about our company, CloudNine.

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Court Declines to Sanction Defendant for Deletion of Former Employee’s Email Account: eDiscovery Case Law

In Moore v. Lowe’s Home Centers, LLC, Washington District Judge Robert J. Bryan denied without prejudice the plaintiff’s Motion for Sanctions for Defendant’s Willful Spoliation of Evidence for deleting her email account after she was terminated, finding a lack of duty preserve or bad faith on the defendant’s part and minimal (if any) prejudice to the plaintiff.

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English Court Rules that Respondents Can Use Predictive Coding in Contested Case: eDiscovery Case Law

In Brown v BCA Trading, et. al., Mr. Registrar Jones ruled that, with “nothing, as yet, to suggest that predictive coding will not be able to identify the documents which would otherwise be identified through, for example, keyword search”, “predictive coding must be the way forward” in this dispute between parties as to whether the Respondents could use predictive coding to respond to eDisclosure requests.

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