eDiscovery Technologies Article Published

The Suffolk Journal of Trial and Appellate Advocacy law journal published Peeking Inside the Black Box: A Preliminary Survey of Technology Assisted Review (TAR) and Predictive Coding Algorithms for eDiscovery (21 Suffolk J. Trial & App. Advoc. 221, 221-286 (2016)). The article explores the sometimes complex…

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Article on eDiscovery Technologies Pending Law Journal Publication

The Suffolk Journal of Trial and Appellate Advocacy law journal will publish Peeking Inside the Black Box: A Preliminary Survey of Technology Assisted Review (TAR) and Predictive Coding Algorithms for eDiscovery. Shannon Brown is excited about the law journal publication. He taught eDiscovery technologies at…

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Attorney Brown Teaches Law School Course on eDiscovery Technologies

Attorney and Adjunct Professor Shannon Brown taught a course on eDiscovery technologies such as keyword search, technology assisted review (TAR), predictive analytics, and predictive coding. Unlike typical eDiscovery courses, which often gloss-over the technologies, law students became deeply engaged in the technical aspects of eDiscovery including completing a hands-on,…

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Predictive Coding Session at the Lancaster Bar Association

On 15 October 2013, attorney Shannon Brown presented a CLE entitled An Introduction to Predictive Coding, TAR, and Emerging eDiscovery at the Lancaster Bar Association’s 2013 Bench Bar Conference. The well-attended event covered general issues increasingly facing attorneys involved in eDiscovery (and normal law practice): getting a grasp on the…

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Emerging eDiscovery Tools and the New, Technology-Augmented Lawyer

New legal technologies deliver potential solutions to data overload in eDiscovery. Lawyers will need to learn how to use an emerging class of “data analysis technologies”—called predictive coding, Technology Assisted Review (TAR), Computer Assisted Document Analysis (CADA), or legal analytics.

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Attorney Brown Completes Statistics: Making Sense of Data Course

Attorney Brown earned a Statement of Accomplishment for the the eight week Statistics: Making Sense of Data course offered by the University of Toronto via Coursera. The noncredit course covered many areas of statistics including data interpretation, confidence intervals, sample size calculation, significance tests, and linear regression.

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Potential Problems & Perils of eDiscovery Outsourcing

Predictive coding, technology assisted review (TAR), computer assisted document analysis (CADA), predictive analytics, document review, eDiscovery software. Important new tools for the legal community. Deep (and probably a little disconcerting) technology for many lawyers.While outsourcing eDiscovery seems compelling, eDiscovery outsourcing can pose some potentially serious ethical problems for an attorney and law firm.

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