Account

Sign in to access your account and subscription

Sutherland Utilizes CompuLaw Vision to Automate Litigation Calendaring

In 2004, the Sutherland law firm was dealing with a large enforcement matter that included scheduling many court dates. While working to effectively manage the many aspects involved in this unique case, we looked into using CompuLaw Vision, which draws on CompuLaw's vast databases of court rules and jurisdictions and automatically calculates deadlines, saving time and reducing the risk of error.

14 minute read March 30, 2009 at 03:54 PM
By
Joy Akens
Sutherland Utilizes CompuLaw Vision to Automate Litigation Calendaring

In 2004, the Sutherland law firm was dealing with a large enforcement matter that included scheduling many court dates.

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

Adverse Possessor Provided Insufficient Evidence to Support TackingTown’s Installation of Guardrails Did Not Constitute a TakingMortgagee Entitled to Deficiency JudgmentLandowner Adequately Alleged Trespass During Renovation

August 13, 2026

Agentic AI introduces risks that are novel and complex, but the most effective response is a familiar one. Zero Trust answers the problem of when an AI agent misfires on its own by constraining what an agent can do rather than betting on how it will behave.

August 01, 2026