Today’s thought leader is Tom O’Connor. Tom is a nationally known consultant, speaker and writer in the area of computerized litigation support systems. A frequent lecturer on the subject of legal technology, Tom has been on the faculty of numerous national CLE providers and has taught college level courses on legal technology. Tom's involvement with large cases led him to become familiar with dozens of various software applications for litigation support and he has both designed databases and trained legal staffs in their use on many of the cases mentioned above. This work has involved both public and private law firms of all sizes across the nation. Tom is the Director of the Gulf Coast Legal Technology Center in New Orleans and he just joined Advanced Discovery as a Senior ESI Consultant in January.
Today’s thought leader is Alon Israely. Alon is the Manager of Strategic Partnerships at Business Intelligence Associates, Inc. (BIA) and currently leads the Strategic Partner Program at BIA. Alon has over eighteen years of experience in a variety of advanced computing-related technologies and has consulted with law firms and corporations on a variety of technology issues, including expert witness services related to computer forensics, digital evidence management and data security. Alon is an attorney and a Certified Information Systems Security Professional (CISSP).
In 2012, we covered EDRM’s initial announcement of a new guide called Statistical Sampling Applied to Electronic Discovery and we covered the release of the updated guide (Release 2) back in December. That version of the guide has now been updated with feedback from the comment period.
When a case is filed, several activities must be completed within a short period of time (often as soon as the first seven to ten days after filing) to enable you to assess the scope of the case, where the key electronically stored information (ESI) is located and whether to proceed with the case or attempt to settle with opposing counsel. Here are several of the key early activities that can assist in deciding whether to litigate or settle the case.
It’s not Desi Arnaz who wants it, but the Discovery of Electronically Stored Information (DESI) VI workshop, which is being held at the University of San Diego on June 8 as part of the 15th International Conference on Artificial Intelligence & Law (ICAIL 2015).
They say that a joke is only old if you haven’t heard it before. In that vein, an article about eDiscovery is only old if you haven’t read it before. Craig Ball is currently revisiting some topics that he covered ten years ago with an updated look, making them appropriate for 1) people who weren’t working in eDiscovery ten years ago (which is probably a lot of you), 2) people who haven’t read the articles previously and 3) people who have read the articles previously, but haven’t seen his updated takes. In other words, everybody.
As we noted yesterday and the day before, eDiscoveryDaily published 93 posts related to eDiscovery case decisions and activities over the past year, covering 68 unique cases! Yesterday, we looked back at cases related to eDiscovery cost sharing and reimbursement, fee disputes and production format disputes. Today, let’s take a look back at cases related to privilege and inadvertent disclosures, requests for social media, cases involving technology assisted review and the case of the year – the ubiquitous Apple v. Samsung dispute.
Over two years ago, we covered EDRM’s initial announcement of a new guide called Statistical Sampling Applied to Electronic Discovery. Now, they have announced an updated version of the guide.
In Good v. American Water Works, West Virginia District Judge John T. Copenhaver, Jr. granted the defendants' motion for a Rule 502(d) order that merely encouraged the incorporation and employment of time-saving computer-assisted privilege review over the plaintiffs’ proposal disallowing linear privilege review altogether.
A new self-assessment resource from EDRM helps you answer that question. A few days ago, EDRM announced the release of the EDRM eDiscovery Maturity Self-Assessment Test (eMSAT-1), the “first self-assessment resource to help organizations measure their eDiscovery maturity”. Find out more about it here.
In Dynamo Holdings v. Commissioner of Internal Revenue, Texas Tax Court Judge Ronald Buch ruled that the petitioners “may use predictive coding in responding to respondent's discovery request” and if “after reviewing the results, respondent believes that the response to the discovery request is incomplete, he may file a motion to compel at that time”.
As we discussed Wednesday, working with electronic files in a review tool is NOT just simply a matter of loading the files and getting started. Electronic files are diverse and can represent a whole collection of issues to address in order to process them for loading. To address those issues effectively, processing requires a sound process.
Since hard copy discovery became electronic discovery, I’ve worked with a number of clients who expect that working with electronic files in a review tool is simply a matter of loading the files and getting started. Unfortunately, it’s not that simple!
A lot of people consider Technology Assisted Review (TAR) and Predictive Coding (PC) to be new technology. We attempted to debunk that as myth last year after our third annual thought leader interview series by summarizing comments from some of the thought leaders that noted that TAR and PC really just apply artificial intelligence to the review process. But, the foundation for TAR may go way farther back than you might think.
In Bridgestone Americas Inc. v. Int'l Bus. Mach. Corp., Tennessee Magistrate Judge Joe B. Brown, acknowledging that he was “allowing Plaintiff to switch horses in midstream”, nonetheless ruled that that the plaintiff could use predictive coding to search documents for discovery, even though keyword search had already been performed.
When we launched nearly four years ago on September 20, 2010, our goal was to be a daily resource for eDiscovery news and analysis. Now, after doing so each business day, I’m happy to announce that today is our 1,000th post on eDiscovery Daily! Check out what we've covered over 1,000 posts!
In the case In re Bridgepoint Educ., Inc., Securities Litigation, California Magistrate Judge Jill L. Burkhardt ruled that expanding the scope of discovery by nine months was unduly burdensome, despite the plaintiff’s request for the defendant to use predictive coding to fulfill its discovery obligation and also approved the defendants' method of using search terms to identify responsive documents for the already reviewed three individual defendants, directing the parties to meet and confer regarding the additional search terms the plaintiffs requested.
In a dispute over ESI protocols in FDIC v. Bowden, Georgia Magistrate Judge G. R. Smith approved the ESI protocol from the FDIC and suggested the parties consider the use of predictive coding.
In In Progressive Cas. Ins. Co. v. Delaney, Nevada Magistrate Judge Peggy A. Leen determined that the plaintiff’s unannounced shift from the agreed upon discovery methodology, to a predictive coding methodology for privilege review was not cooperative. Therefore, the plaintiff was ordered to produce documents that met agreed-upon search terms without conducting a privilege review first.
One of the most frequently discussed trends in this year’s annual thought leader interviews that we conducted was the application of analytics (including predictive analytics) to Information Governance. A recent report published in the Richmond Journal of Law & Technology addresses how analytics can be used to optimize Information Governance.
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