Account

Sign in to access your account and subscription

Internet Mom Strikes Back

Patricia Santangelo, a 43-year old divorced mother of five says she has never downloaded a single song on her computer, but the recording industry didn't see it that way. Santangelo, from Wappingers Falls, NY, was surprised to find out that she was the Defendant in a suit filed by the Recording Industry Association of America (RIAA) ' one of those now about 16,000 that we keep noting as the RIAA sues a new batch of alleged file sharers each month.

21 minute read January 03, 2006 at 02:31 PM
By
Steven Salkin
Internet Mom Strikes Back

[Editor's Note: We report on RIAA file-sharing suits almost every month ' at least in terms of number of people sued. But one case filed last year is gaining popularity and interest, and may end up being the case that tests the viability of these suits.

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