The Importance of Contextual Diversity in Technology Assisted Review

Contextual diversity refers to documents that are different from the ones already seen and judged by human reviewers. The contextual diversity algorithm identifies documents based on how significant and how different they are from the ones already seen and then selects training documents that are the most representative of those unseen topics for human review.

Bill Dimm on the TAR vs. Keyword Search Challenge

During my [Bill Dimm] presentation at the NorCal eDiscovery & IG Retreat, I challenged the audience to create keyword searches that would work better than technology-assisted review (predictive coding) for two topics.  Half of the room was tasked with finding articles about biology (science-oriented articles, excluding medical treatment) and the other half searched for articles about current law (excluding proposed laws or politics).  TAR beat keyword search across the board for both tasks. 

SuperCALifragilisticexpialidocious: An Update on One Technology-Assisted Review Protocol’s Terminology

With recent eDiscovery provider announcements that highlight the use of the terms “Continuous Active Learning” and “CAL”, provided below is a quick review and current update on Recommind’s (Recommind, Inc.) opposition to the trademark/service mark application by Maura Grossman and Gordan V. Cormack for trademarking CONTINUOUS ACTIVE LEARNING and CAL.

TAR for Smart Chickens

Special Master Maura Grossman recently issued an Order crafting a new validation protocol In Re Broiler Chicken Antitrust Litigation, (Jan. 3, 2018), which is currently pending in the Northern District of Illinois.

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