Model Patent Prosecution Templates
AIPLA's Patent Law Committee maintains a collection of sample documents related to day-to-day patent prosecution. These documents are exemplary and may not be ideal for every situation. Use them at your own risk.*
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Model Response Shells:
Each of these documents contains a comprehensive shell document that can be used to formulate a response to 35 U.S.C. 112, 102, 103, or 101 rejections made by a patent examiner during prosecution.
Model Appeal Brief (updated 3/2026): (Doc) (PDF)
This document contains the overall structure of appeal brief with a section for drafting responses to point out error in rejections made in 35 U.S.C. 112, 102, 103, 101, and obviousness-type double patenting rejections. The model appeal brief includes summaries of the relevant portions of the PTAB’s designated informative and precedential decisions applicable to ex parte appeals along with associated Federal Circuit case law.
Model Reply Brief(updated 3/2026): (Doc) (PDF)
This document contains the overall structure of a reply brief along with relevant case law summaries to use for handling new grounds of rejection in an Examiner’s Answer.
*Nothing included in these sample documents or elsewhere on this site should be considered legal advise on the part of AIPLA or any of its members.
The AIPLA Special Committee on IP Support Specialists and the NDA IP Chapter present: Unlocking Innovation: AI for IP Support & Docketing Specialists
Speaker: Ann McCrackin, AI-Enabled Attorney, LLC
AI is changing everyday legal work, including the work of IP support and docketing teams. Building on Ann McCrackin’s highly rated 2025 NDA Conference presentation, this program will show how NotebookLM can help teams work with a defined set of source materials. It will also introduce custom GPTs as a way to create repeatable assistants for recurring IP support tasks. In addition, it will cover important guardrails, including using firm-approved business or enterprise AI tools for client-related work and verifying AI-generated output before relying on it. Attendees will leave with practical examples of how AI can support efficiency, accuracy, and evolving IP operations.
Speakers
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McCrackin, Ann
AI-Enabled Attorney, LLC | Founder
Ann McCrackin is a patent attorney, Adjunct Professor at the University of New Hampshire Franklin Pierce School of Law, and founder of AI-Enabled Attorney LLC. She provides practical AI training and IP operations consulting for law firms and legal teams, with a focus on helping professionals use AI effectively in real patent and trademark workflows.