Life is Short, But Can Seem Long if You’re a Cheater About to Be Exposed in the Ashley Madison Hack: eDiscovery Trends

By: Doug Austin

One of the most discussed topics at LegalTech® New York 2015 (LTNY) earlier this year was cybersecurity. We’ve started covering some of the trends related to security breaches with posts here, here and here and even my hometown baseball team, the Houston Astros, was recently hacked by a competitor. The latest victims of cyber hacking – the purported 37 million subscribers of the online cheating site – may find little sympathy in their plight.

Court Denies Plaintiff’s Request for Spoliation Sanctions, as Most Documents Destroyed Before Duty to Preserve: eDiscovery Case Law

By: Doug Austin

In Giuliani v. Springfield Township, et al., Pennsylvania District Judge Thomas N. O’Neill, Jr. denied the plaintiffs' motion for spoliation sanctions, finding that the duty to preserve began when the case was filed and finding that “plaintiffs have not shown that defendants had any ill motive or bad intent in failing to retain the documents which plaintiffs seek”.

Quality Control, Making Sure the Numbers Add Up: eDiscovery Best Practices

By: Doug Austin

Friday, we wrote about tracking file counts from collection to production, the concept of expanded file counts, and the categorization of files during processing. Today, let’s walk through a scenario to show how the files collected are accounted for during the discovery process.

Quality Control By The Numbers: eDiscovery Best Practices

By: Doug Austin

A while back, we wrote about Quality Assurance (QA) and Quality Control (QC) in the eDiscovery process. Both are important in improving the quality of work product and making the eDiscovery process more defensible overall. With regard to QC, an overall QC mechanism is tracking of document counts through the discovery process, especially from collection to production, to identify how every collected file was handled and why each non-produced document was not produced.

This Study Discusses the Benefits of Including Metadata in Machine Learning for TAR: eDiscovery Trends

By: Doug Austin

A month ago, we discussed the Discovery of Electronically Stored Information (DESI) workshop and the papers describing research or practice presented at the workshop that was held earlier this month and we covered one of those papers a couple of weeks later. Today, let’s cover another paper from the study.



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About the Bloggers

Brad Jenkins

Brad Jenkins, President and CEO of CloudNine Discovery, has over 20 years of experience leading customer focused companies in the litigation support arena. Brad has authored many articles on litigation support issues, and has spoken before national audiences on document management practices and solutions.

Doug Austin

Doug Austin, Professional Services Manager for CloudNine Discovery, has over 20 years experience providing legal technology consulting and technical project management services to numerous commercial and government clients. Doug has also authored several articles on eDiscovery best practices.

Jane Gennarelli

Jane Gennarelli is a principal of Magellan’s Law Corporation and has been assisting litigators in effectively handling discovery materials for over 30 years. She authored the company’s Best Practices in a Box™ content product and assists firms in applying technology to document handling tasks. She is a known expert and often does webinars and presentations for litigation support professionals around the country. Jane can be reached by email at