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 Technology Assisted Review in eDiscovery:
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
Concept Searching
De-Duplication
Filtering by Custodian, Date, & Other Criteria
Keyword & Boolean Searching
OCR
Technology Assisted Review (TAR)
ESI: A proper Request for Production of Documents
Using and managing Electronically Stored Information (ESI) for the best and most efficient results
iOS 16 for iPhone and what it means for eDiscovery
PRESERVATION – Electronic Evidence: End User, File System, Operating System, Application
