Account

Sign in to access your account and subscription

Rita v. U.S.

Two-and-a-half years ago, the Supreme Court ruled in the remedial portion of its bifurcated decision in U.S. v. Booker, 543 U.S. 220 (2005), that the system of federal Sentencing Guidelines established by the Sentencing Reform Act of 1984 could pass constitutional muster only if the Guidelines were treated as having advisory, rather than mandatory, effect. But Booker left open the question of how much weight the now advisory Guidelines should henceforth be given in a district court's sentencing calculus. Last November, the Supreme Court granted writs of certiorari in two cases ' <i>Rita v. United States</i>, and <i>Claiborne v. United States</i>, that seemed likely to resolve this question.

16 minute read August 29, 2007 at 09:03 AM
By
Jefferson M. Gray
Rita v. U.S.

Two-and-a-half years ago, the Supreme Court ruled in the remedial portion of its bifurcated decision in U.S. v. Booker

This premium content is locked for Business Crimes Bulletin subscribers only

ENJOY UNLIMITED ACCESS TO THE SINGLE SOURCE OF OBJECTIVE LEGAL ANALYSIS, PRACTICAL INSIGHTS, AND NEWS IN Business Crimes Bulletin

  • 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