Account

Sign in to access your account and subscription

Legal Teams Are Leaving Critical Mobile Evidence on the Table

One of the most revealing contradictions in today’s legal landscape is hiding in plain sight. Mobile data now plays a role in more than 75% of e-discovery matters, yet fewer than half of legal teams say they see it in even half of their cases. In an era of encrypted messaging, BYOD policies, and dispersed workforces, this isn’t just an oversight, it’s a liability.

5 minute read September 01, 2025 at 12:03 AM
By
Harsh Behl
Legal Teams Are Leaving Critical Mobile Evidence on the Table

One of the most revealing contradictions in today’s legal landscape is hiding in plain sight. Mobile data now plays a role in more than 75% of e-discovery matters, yet fewer than half of legal teams say they see it in even half of their cases.

This premium content is locked for Cybersecurity Law & Strategy subscribers only

ENJOY UNLIMITED ACCESS TO THE SINGLE SOURCE OF OBJECTIVE LEGAL ANALYSIS, PRACTICAL INSIGHTS, AND NEWS IN Cybersecurity Law & Strategy

  • 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