Account

Sign in to access your account and subscription

Language-Based Knowledge Extraction Can Reform Document Review

An emerging market trend ' language-based knowledge extraction ' holds the promise of greater strategic insight, improved efficiencies and cost-saving advantages during document review. Knowledge extraction achieves the objective of identifying relevant documents and understanding what those documents actually say at the beginning of the review process as opposed to the end.

8 minute read May 31, 2013 at 10:09 AM
By
Bobbi Basile
Language-Based Knowledge Extraction Can Reform Document Review

As the amount of data in discovery continues to escalate, easing the pain, time and cost of document review during e-discovery remains a leading goal for organizations and their legal teams.

This premium content is locked for LawJournalNewsletters subscribers only

ENJOY UNLIMITED ACCESS TO THE SINGLE SOURCE OF OBJECTIVE LEGAL ANALYSIS, PRACTICAL INSIGHTS, AND NEWS IN LawJournalNewsletters

  • Stay current on the latest information, rulings, regulations, and trends
  • Includes practical, must-have information on copyrights, royalties, AI, and more
  • Tap into expert guidance from top entertainment lawyers and experts

Already have an account? Sign In Now

For enterprise-wide or corporate access, please contact Customer Service at [email protected] or call 1-877-256-2473.

NOT FOR REPRINT

© 2026 ALM Global, LLC, All Rights Reserved. Request academic re-use from www.copyright.com. All other uses, submit a request to [email protected]. For more information visit Asset & Logo Licensing.

Continue Reading

The Copyright Royalty Board (CRB), which works under the umbrella of the Librarian of Congress, sets statutory-license royalty terms and rates. The U.S. Courts of Appeals for the D.C. Circuit recently issued two notable decisions about the CRB.

October 01, 2026