Account

Sign in to access your account and subscription

Navigating the Tricky Terrain of Remote and Self-Collections

Although predictive coding has been the most prominent buzzword in e-discovery circles this year, remote collection of ESI remains a hot topic. Remote collections have been viewed by IT staff as a way to save time and money. But legal professionals remain skeptical.

19 minute read July 27, 2012 at 04:17 PM
By
Gavin W. Manes and Tom O'Connor
Navigating the Tricky Terrain of Remote and Self-Collections

Although predictive coding has been the most prominent buzzword in e-discovery circles this year, remote collection of Electronically Stored Information (ESI) remains a hot topic.

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

Most firms are aiming their newest tools at the work they already do — pouring their most powerful technology into running the same tasks a little faster. But when everyone automates the same tasks at once, no one pulls ahead. That reaches the future a little faster while leaving a firm’s largest opportunity untouched — and that opportunity isn’t doing more of the existing work, but transforming how the high-value work gets done.

June 01, 2026

Artificial intelligence is rapidly embedding itself into legal workflows, but much of the conversation treats all use cases as if they carry the same level of risk, even if they do not. The more useful question is not whether AI works, but where it can be safely applied and where it cannot.

June 01, 2026