TECHNOLOGY ASSISTED REVIEW (TAR), which is also called Computer Assisted Review (CAR). General Introduction to the e-Discovery Team’s approach to document review using active machine learning, which is a type of Artificial Intelligence.
LEGAL SEARCH SCIENCE. The Team’s introduction to this new interdisciplinary field. It is concerned with the search, review, and classification of large collections of electronic documents to find information for use as evidence in legal proceedings, for compliance to avoid litigation, or for general business intelligence.
RALPH LOSEY’S PREDICTIVE CODING ARTICLES. Over sixty articles on Electronic Document Review, Legal Search and Predictive Coding.
Mr. EDR. Story from the AI’s point of view of the e-Discovery Team’s participation in 2015 and 2016 TREC Total Recall Track science experiments.
FIVE TIPS TO AVOID COSTLY MISTAKES IN DOCUMENT REVIEW. Video chats and text by Losey on five document review tips he was thinking about in Mid-2016.
TAR COURSE: Sixteen Class training program in Predictive Coding 4.0, the e-Discovery Team’s method of document review. The Team uses a Hybrid Multimodal approach that features active machine learning, but includes all other types of electronic search. The Team prefers a type of continuous learning process for predictive coding that uses Intelligently Spaced Training (IST).