In Lutzeier v. Citigroup Inc., Missouri District Judge Ronnie I. White ruled on two motions to compel discovery by the plaintiff, addressing (among other things) disagreement on search terms to be used by the defendant and lack of organization and labeling of the defendant’s production to date.
As will soon be reinforced in our upcoming thought leader interviews, one of the major focus areas at this year’s LegalTech® New York 2015 (LTNY) was a continued emphasis on Information Governance (IG). One of our perennial interviewees, Ralph Losey, has some thoughts about the battle in the legal tech world between IG and Search and reveals that it doesn’t have to be a battle after all.
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, Wednesday and Tuesday, 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 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. Today, let’s take a look back at cases related to sanctions and spoliation.
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.
It’s time for our annual review of eDiscovery case law! We had more than our share of sanctions granted and denied, as well as disputes over admissibility of electronically stored information (ESI), eDiscovery cost reimbursement, and production formats, even disputes regarding eDiscovery fees. So, as we did last year and the year before that and also the year before that, let’s take a look back at 2014!
In Armstrong Pump, Inc. v. Hartman, New York Magistrate Judge Hugh B. Scott granted in part the defendant’s motion to compel discovery responses and fashioned a “new and simpler approach” to discovery, identifying thirteen search terms/phrases for the plaintiff to use when searching its document collection.
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.
In Finjan, Inc. v. Blue Coat Systems., California Magistrate Judge Paul S. Grewal granted the plaintiff’s motion ordering the defendant to produce relevant emails from its eight custodians, even though the plaintiff was unable to provide its own archival emails.
Today is Halloween. Every year at this time, because (after all) we’re an eDiscovery blog, we try to “scare” you with tales of eDiscovery horrors. This is our fifth year of doing so, let’s see how we do this year. Be afraid, be very afraid!
In Freedman v. Weatherford Int’l, New York Magistrate Judge James C. Francis, IV denied the plaintiff’s request to, among other things, require the defendant to produce “certain reports comparing the electronic search results from discovery in this action to the results from prior searches” – despite the fact that the plaintiff identified 18 emails that the defendant did not produce that were ultimately produced by a third party.
Are email signatures and disclaimers causing more trouble than they’re worth? According to one author, perhaps they are.
Recently, we at CloudNine Discovery received a set of Adobe PDF files from a client that raised an issue regarding the handling of those files for searching and reviewing purposes. The issue serves as a cautionary tale for those working with image-only PDFs in their document collection. Here’s a recap of the issue.
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”.
Recently, I assisted a large corporate client where there were several searches conducted across the company’s enterprise-wide document management systems (DMS) for ESI potentially responsive to the litigation. Some of the individual searches on these systems retrieved over 200,000 files by themselves! Here is how we made those searches more precise.
Several months ago, I provided search strategy assistance to a client that had already agreed upon several searches with opposing counsel. One search related to mining activities, so the attorney decided to use a wildcard of “min*” to retrieve variations like “mine”, “mines” and “mining”. That one search retrieved over 300,000 files with hits. Why? Let's see.
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 United States v. Univ. of Neb. at Kearney, Nebraska Magistrate Judge Cheryl R. Zwart denied the government’s motion to compel discovery, finding that “ESI is neither the only nor the best and most economical discovery method for obtaining the information the government seeks” and stating that searching for ESI “should not be deemed a replacement for interrogatories, production requests, requests for admissions and depositions”.
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