Top 10 Patent Drafting Mistakes That Can Impact Litigation

Discussed below are the second five of the "Top 10 Patent Drafting Mistakes" that drafters often make that can impact the successful enforceability of patents. These mistakes, as with the first five discussed last month, are largely derived from the failure of prosecution counsel to recognize how a patent may be scrutinized and challenged in litigation. Spending the extra time and effort during drafting to avoid these 10 mistakes can drastically increase the odds of a successful outcome.

15 minute read September 09, 2004 at 02:29 PM
By
Carey Jordan And Tom Morrow
Top 10 Patent Drafting Mistakes That Can Impact Litigation

Part Two of a Two-Part Series

Discussed below are the second five of the “Top 10 Patent Drafting Mistakes” that drafters often make that can impact the successful enforceability of patents.

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.

July 31, 2026