Account

Sign in to access your account and subscription

Upping the Legal Training Ante

Womble Carlyle's technology training and online learning programs were in need of an upgrade. Unprecedented firm growth, heightened emphasis on developing lawyers' core technology competencies, and a need to streamline and automate existing e-learning processes led the firm to initiate a fundamental shift.

25 minute read December 31, 2014 at 11:00 PM
By
Bill Koch
Upping the Legal Training Ante

Womble Carlyle Sandridge & Rice, LLP's (Womble Carlyle) technology training and online learning programs were in need of an upgrade. The firm's overall program was originally designed around using local trainers in specific offices to assist with hands-on training and address individual lawyer technology challenges through traditional, classroom-based training methods.

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