About PatentAgility and TrademarkAgility
PatentAgility and TrademarkAgility are an AI/ML/NLP-based patent and trademark analysis toolkit designed to make intellectual property review faster and more transparent. The system combines public USPTO data, focused machine-learning and natural language processing systems, and lawyer-built workflows for day-to-day legal practice.
How Our System Works
PatentAgility and TrademarkAgility use locally operated models, maintained application code, and public USPTO data. They are built around defined legal workflows and produce results intended for professional review.
Selected PatentAgility/TrademarkAgility code is open source, and the broader system is available for appropriate technical review. Companies and law firms may ask their IT teams to review relevant systems and security controls. Contact Kirk (opens in a new tab) to arrange a review. Security-sensitive and operational portions of the codebase are not public; selected code is freely reviewable on GitHub.
Developed at KellDann, with thanks to Dartmouth and MIT
PatentAgility and TrademarkAgility were designed and coded by Kirk Sigmon at KellDann Law (opens in a new tab). The project began during his master's studies at the Thayer School of Engineering at Dartmouth (opens in a new tab), and upcoming PatentAgility work is part of Kirk's fellowship with MIT CSAIL (opens in a new tab).