Abstract
An AI agent method for reviewing patent claims against product feature descriptions in legal workflows. The agent parses claim text into elements, aligns each element to natural language feature statements drawn from public product materials, and emits a coverage score expressed as a percentage of elements satisfied along with a one sentence explanation per element. The method targets legal operations teams and pro se inventors who need a repeatable first pass before attorney engagement.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Burton, Aaron, "AI Agent Method for Mapping Product Feature Descriptions to Patent Claim Elements with a Coverage Score", Technical Disclosure Commons, (April 21, 2026)
https://www.tdcommons.org/dpubs_series/9858