Looking to ease the burden of reviewing eDiscovery data sets? 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.
Our solutions encompass either method. Leverage Vestige’s Technology Assisted Review for your next eDiscovery review.
Artificial Intelligence & Machine Learning
Concept Searching
De-Duplication
Filtering by Custodian, Date, & Other Criteria
Keyword & Boolean Searching
OCR
Technology Assisted Review (TAR)
The Difference between Digital Forensics and E-Discovery
PRESERVATION – Electronic Evidence: End User, File System, Operating System, Application
ESI : Insufficient Production of Documents Representative Matters
Common Misperceptions About Electronic Discovery
