As illustrated in the example we posted Tuesday, Twitter continues to receive requests from government agencies for user information (often related to litigation). How many are they receiving? Now, you can find out, simply by clicking on their new Transparency Report page to see the number of requests they have received.
read moreFirst, Malcolm Harris tried to quash a subpoena seeking production of his Tweets and his Twitter account user information in his New York criminal case. That request was rejected, so Twitter then sought to quash the subpoena themselves, claiming that the order to produce the information imposed an “undue burden” on Twitter and even forced it to “violate federal law”. Now, the criminal court judge has ruled on Twitter’s motion.
read moreAs reported in Law Technology News (Technology-Assisted Review Boosted in TREC 2011 Results by Evan Koblentz), the Text Retrieval Conference (TREC) Legal Track, a government sponsored project designed to assess the ability of information retrieval techniques to meet the needs of the legal profession, has released its 2011 study results (after several delays). A link to the overview of the 2011 TREC Legal Track can be found here.
read morePeople tend to use the terms Quality Assurance (QA) and Quality Control (QC) interchangeably and it’s a pet peeve of mine. It’s like using the word “irregardless” – which isn’t really a word. The fact is that QA and QC are different mechanisms for ensuring quality in…anything. Products, processes and projects (as well as things that don’t begin with “pro”) are all examples of items that can benefit from quality ensuring mechanisms and those that are related to electronic discovery can particularly benefit.
read moreThere was an article in Law Technology News last Friday (Survey Shows Surge in E-Discovery Work at Law Firms and Corporations, written by Monica Bay) that discussed the findings of a survey released by The Cowen Group, indicating that eDiscovery work in law firms and corporations is growing considerably. Eighty-eight law firm and corporate law department professionals responded to the survey.
read moreAs noted in an article written by Mark Hamblett in Law Technology News, Judge Andrew Carter of the U.S. District Court for the Southern District of New York has granted conditional class certification in the Da Silva Moore v. Publicis Groupe & MSL Group case.
read moreIf an electronic document is a “house” for information, then metadata could be considered the “deed” to that house. Metadata, which is data about the document, contains information such as the user who created it, creation date, the edit history, and file type. There are many different types of metadata and it is important to understand each with regard to requesting that metadata in opposing counsel productions and being prepared to produce it in your own productions. Here are some examples.
read moreA little over a week ago, we talked about how critical the first seven to ten days are in the case once litigation hits. Key activities to get a jump on the case include creating a list of key employees most likely to have documents relevant to the litigation and interviewing those key employees, as well as key department representatives, such as IT for information about retention and destruction policies. These steps are especially important as they may shed light on custodians you might not think about – the ones who aren’t there.
read moreYesterday, we talked about the use of First Pass Review (FPR) applications (such as FirstPass®, powered by Venio FPR™) to not only conduct first pass review of your own collection, but also to analyze your opponent’s ESI production. One way to analyze that data is through “fuzzy” searching to find misspellings or OCR errors in an opponent’s produced ESI. Another type of analysis is the use of domain categorization.
read moreTuesday, we talked about the use of First Pass Review (FPR) applications (such as FirstPass®, powered by Venio FPR™) to not only conduct first pass review of your own collection, but also to analyze your opponent’s ESI production. One way to analyze that data is through synonym searching to find variations of your search terms to increase the possibility of finding the terminology used by your opponents. Another type of analysis is the use of fuzzy searching.
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