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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A Fair Approach to Drone Regulation

Drone manufacturers and would-be manufacturers paint a picture of skies filled with drones—unmanned aircraft (and other machines). Media and advocacy groups cite First Amendment rights to the use of drones. Police seek drones despite prohibitions by federal and state constitutions. But, serious issues related to safety (what happens when…

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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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Presentation on eDiscovery for Small Law Firms

On September 25, 2013, Attorney Shannon Brown presented a CLE on eDiscovery technologies available for small law firms and solo law practices at the Berks County Bar Association’s Solo and Small Firm Conference. The CLE covered the state of the profession relating to emerging eDiscovery technologies with particular focus on eDiscovery options for small law firms.

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Attorney Brown Completes Malware Course

Not many lawyers engage in malware analysis and issues. But malware poses a formidable and emerging challenge for companies, businesses, organizations, and individuals who face cybersecurity threats, cybercrime,  cyber-espionage, identity theft, and data breaches. Attorney Shannon Brown recently completed a six week, online, graduate-level course in malware entitled Malicious Software and its Underground Economy: Two Sides to Every Story. The course covered current and emerging trends in malware including traditional malware, mobile device malware, and sophisticated malware obfuscation techniques. The course also provided lessons in detecting malware (malare is far more sophisticated than most realize) and decompiling malware using decompilation tools and machine code analysis (Attorney Brown has a significant background in computer programming and systems analysis aiding in this exercise).

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Presentation on Drones, Media Hacking & Just-in-Time Media

Attorney Shannon Brown presented a continuing education program (CLE) for lawyers addressing emerging technologies issues such as drones, hacking, and just-in-time news reporting. The presentation was for the 21st Annual Media Lawyers Conference sponsored by the Pennsylvania NewsMedia Association.

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Send in the Drones—Flying in the Face of Danger?

Unmanned Aircraft Systems (UAS—the current, official FAA designation), Unmanned Aerial Vehicles (UAVs), or drones. All describe remote-controlled aerial vehicles of various configurations and various sizes. Current FAA regulations and FAA guidance prohibit the commercial use of UASs without a FAA Special Airworthiness Certificate–Experimental Category (SAC-EC). Considerable controversy surrounds the use of drones and privacy, financial liability, regulatory authority, and Constitutional issues remain.

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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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Article Published—Prolorem™ Predictive Coding Project

The Pennsylvania Bar Association’s Young Lawyers Division published Shannon’s article about the Prolorem™ eDi predictive coding eDiscovery software project. The article describes the objectives of the software project for eDiscovery , a brief synopsis of how predictive coding (analytics) works, and why predictive coding…

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Machine Learning Technical Presentation

Attorney Shannon Brown delivered a presentation on 06 April 2013 entitled “An Overview of Machine Learning” at BarCamp Harrisburg. The presentation provided basic information about machine learning including

defining machine learning,
distinguishing supervised and unsupervised machine learning,
classification,
ranking, and
clustering.

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Completes Information Security and Neural Networks Courses

Attorney Brown recently completed two online, non-credit courses—Information Security and Risk Management in Context offered by the University of Washington and Neural Networks for Machine Learning offered by the University of Toronto.

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Attorney Brown Launching an eDiscovery Software Company

Attorney Shannon Brown recently launched a new, “community-benefit,” eDiscovery software company. Prolorem™ LLC’s first product is a Computer Assisted Document Analysis (CADA) software package called Prolorem™ eDi

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Statements of Accomplishment for Natural Language Processing and Cryptography Coursework

Attorney Shannon Brown received two, Statements of Accomplishment for completing courses in 1) Natural Language Processing and 2) Cryptography. Coursera offers the challenging, non-credit courses which are taught by Stanford University Professors. According to data released by the Natural Language Processing professors, only about 3% of students received a Statement of Accomplishment for that course.

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Received Natural Language Processing Statement of Accomplishment

Attorney Shannon Brown received a Statement of Accomplishment for completing the challenging, Natural Language Processing course offered by Coursera and taught by Stanford University professors (both whom published the text books on this topic). According to data released by the professors teaching the course, only about 3% of students received a Statement of Accomplishment.

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Shannon Brown Completes Technology Courses

attorney Shannon Brown received Statements of Accomplishment for two, non-credit, computer science courses: 1) Machine Learning and 2) Artificial Intelligence.

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CAPTCHA Turing Test Defeated: Ramifications for Legal Community

While debates on the use of machine learning algorithms in e-discovery continue (for example, so called “predictive coding”), the recent defeat of CAPTCHA signals a growing maturity in machine learning capabilities with direct applicability to the legal community.

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