Technology Assisted Review (TAR) is a way of handling the review phase of eDiscovery by deploying algorithms that can classify documents based on input from expert reviewers. It can provide statistics, categorization, and reporting data that is superior to human-only review.
There are two general variations of TAR:
With both versions, the subject-matter expert trains the algorithm, which then follows a defensible workflow to make relevancy decisions in a consistent, cost-effective manner.
Artifical Intelligence & Machine Learning
Filtering by Custodian, Date, & Other Criteria
Keyword & Boolean Searching
Technology Assisted Review (TAR)