Definition

technology-assisted review (TAR)

Contributor(s): Lauren Horwitz

Technology-assisted review (TAR) -- which is also known as computer-assisted review or predictive coding -- uses software to search and sort through documents that are relevant for the purposes of e-discovery.

Based on a series of algorithms, TAR can sort through millions of documents, sometimes terabytes of data, quickly to determine which documents are considered "responsive" and nonresponsive for a legal case. The goal of technology-assisted review is to eliminate the time and costs of hiring lawyers to sift through documents manually – and potentially increase the accuracy of the process along the way.

TAR incorporates machine learning, whereby the software must be "taught" over time what constitutes relevant documents. Humans thus supplement TAR and train the software to identify documents correctly.

This was last updated in October 2015

Continue Reading About technology-assisted review (TAR)

Dig Deeper on Information governance software

PRO+

Content

Find more PRO+ content and other member only offers, here.

Join the conversation

1 comment

Send me notifications when other members comment.

By submitting you agree to receive email from TechTarget and its partners. If you reside outside of the United States, you consent to having your personal data transferred to and processed in the United States. Privacy

Please create a username to comment.

How do technology-assisted review (TAR) tools help your company's e-discovery needs?
Cancel

-ADS BY GOOGLE

File Extensions and File Formats

Powered by:

SearchBusinessAnalytics

SearchDataManagement

SearchERP

SearchOracle

SearchSAP

SearchSQLServer

Close