Account

Sign in to access your account and subscription

Ruling on Use of Athlete's Name

It's possible to win the war but lose the final battle. Although former Philadelphia Phillies pitcher Tyler Green prevailed in his lawsuit against a man who used his name for a sports-handicapping Web site, he has now lost his appeal demanding that the man be ordered to reimburse Green's legal fees. And for Green's lawyer, John P. Elliott, the decision from the U.S. Court of Appeals for the Third Circuit came with a one-two punch. Not only was Elliott denied a fee award, but he also got a stern finger-wagging from an appellate judge who complained that a letter he wrote to the defendant was 'particularly combative' and employed a 'most unwise tactic.' <i>Green v. Fornario</i>, 06-2649.

12 minute read June 28, 2007 at 10:48 AM
By
Shannon P. Duffy
Ruling on Use of Athlete's Name

It's possible to win the war but lose the final battle.

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