Posts Tagged ‘Predictive Coding’



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  • My Prediction: Predictive Coding Will Help Information Governance Get Real

    Last week I attended a “Predictive Coding Boot Camp” produced by the E-Discovery Journal and presented by Karl Schieneman of Review Less and Barry Murphy.  I’ve participated in many workshops, seminars, discussions, and webinars on the topic, but this half-day seminar went the deepest of any of them into the legal, technology, and case strategy […]



  • Robots From The Not-Too-Distant Future Explain How They Use Random Sampling For Artificial Intelligence Based Evidence Search

    Byte and Switch, my future-law robots, here star in another video animation, this time on random sampling. They explain how sampling is used in machine-learning-based evidence review. In this first segment of a two-part video taking place sometime in t…



  • New eDJ Report On Predictive Coding

    In addition to the Boot Camp, we have now created a series of research reports that will give the market a good framework for understanding PC and the solutions available. The first report – Predictive Coding: What You Need To Know Now – is now live on the eDJ research site. This eDiscoveryJournal research brief, written by Karl Schieneman and Barry Murphy, explores eDJ’s survey results and market research into Predictive Coding and its impact on eDiscovery and Information Governance practices. The brief is aimed at eDiscovery professionals seeking to understand how Predictive Coding works in the review process and what to consider before making decisions on which Predictive Coding solutions to utilize.



  • Social network analysis, predictive coding enlisted to fight fraud

    Economic and budget realities have turned the spotlight on fraud, waste and abuse across federal, state and local government organizations, and agencies are employing new technologies that can detect collusive relationships and combat some of the more …



  • Partial Recall: Why Lawyers Can’t Have (And Really Don’t Need) All Relevant Documents – Part II

    This is the continuation of my article from last week entitled “Partial Recall: Why Lawyers Can’t Have (And Really Don’t Need) All Relevant Documents” I find it exceptional the Court found it reasonable and proportional for Biomet to follow eDiscovery procedures predicted to result in the production of only 40% of the relevant documents (40% recall)—a number that might make some attorneys and judges cringe.  I don’t know of any other case that has so clearly approved of such a low recall value.  And I think the Court was right to do so. For one thing, studies show that even using the best information retrieval technologies at extraordinary expense, recall in many cases doesn’t reach much higher than 70%.  Perfection or near-perfection are not even options. Additionally, historical eDiscovery practices have likely resulted in significantly lower recall values.  As many [...]



  • Big Data and Ediscovery

    There’s been a lot of talk about how leveraging Big Data in eDiscovery is going to revolutionize the industry.  And in many ways this trend will almost certainly prove to be true.  But sometimes the vendors pushing these tools can put the cart ahead of the horse.  Unfortunately, learning valuable insights from Big Data is [...]

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  • Partial Recall: Why Lawyers Can’t Have (And Really Don’t Need) All Relevant Documents – Part I

    I can’t recall how many times I’ve received demands from opposing counsel for “all” relevant documents in my client’s possession.  Indeed, many court opinions support such an entitlement.  Yet countless studies (Blair and Maron, TREC, etc.) show that even the best information retrieval technologies and practices fall well short of perfection.  Courts have begun to recognize the impossibility of perfection in eDiscovery, though many still seem reluctant to depart too far from an expectation of perfection. But in a freshly released opinion arising in the context of a multi-district litigation, Judge Robert L. Miller, Jr. of the Northern District of Indiana ventures further than other courts, recognizing that parties may satisfy their discovery obligations under the Federal Rules even with productions that fall well short of total recall.  Below, I summarize the opinion and explore the implications of imperfection in [...]



  • UK judges and predictive coding – open to any proportionate suggestion

    Charles Christian’s Legal IT Insider has been hosting a discussion about the likely reaction of case managing judges to the proposed use of technology like predictive coding. The starting point is a thoughtful article by Drew Lewis, eDiscovery Co…



  • DUKE Conference on TAR – The Experts Convene

    On April 19th, 60 invited delegates convened on Washington, DC to discuss with the Federal Rules Committee to discuss Technology Assisted Review. The object of the meeting was to have the delegates give their perspectives on whether the Rules currently being readied for public comment should incorporate changes that take into account the unique needs of TAR. My overall conclusion is that the Duke Conference was an outstanding event and it went along way to show that attorneys need more transparency when using TAR or it becomes very hard to effectively cooperate.



  • Boot Camps Across the Country – Houston, Dallas, and Chicago

    It’s been a crazy busy couple of weeks for the eDiscoveryJournal team as we crisscrossed the country educating the industry on eDiscovery topics near and dear to our hearts.  I started out last week driving from Austin to Houston which allowed me to get caught up on two hours of phone calls (except for the “dead zone” right outside the speed trap town of Giddings on 290).  After picking up Mikki Tomlinson from the Hobby Airport and sharing some tapas at Mi Luna, we were ready for our first Legal Hold Boot Camp. The Houston Legal Hold Boot Camp was held at the lovely Hyatt Regency in downtown Houston.  We had a nice mix of corporate, government and law firm representatives that had experience with records management and generating policies.  It was an intimate group of about twenty people that [...]