Account

Sign in to access your account and subscription

Centralized Management for e-Discovery and Litigation Support

Faced with an overworked litigation support department, as well as an inefficient manual- and paper-based approach, I hunted for an automated platform to help my team streamline our current inefficient processes and more effectively manage the discovery process. The platform needed to set up repeatable processes, facilitate both internal and external collaboration, disseminate information and establish business rules and pricing for vendors.

18 minute read March 27, 2007 at 09:30 AM
By
Chad Papenfuss
Centralized Management for e-Discovery and Litigation Support

As the litigation support administrator for Fredrickson & Byron, consisting of more than 200 attorneys in four offices, I lead the firm's litigation support department and manage a team of four litigation support professionals.

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