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AI Patent Prior Art Mapping
Demonstration of an AI system that maps patent claims to prior art, detailing the mapping process, evaluation metrics, and practical implementation.
Patents form the cornerstone of innovation protection, with the USPTO processing over 600,000 applications annually representing billions in economic value. To get a patent, an invention must be genuinely novel—but proving novelty is a complex, time-consuming process that costs companies tens of thousands of dollars per application. Patent examiners and professionals spend countless hours searching for “prior art” that might show an invention already exists. In this talk, I will demonstrate an AI-powered system that not only identifies relevant prior art but provides detailed mapping between patent claims and existing disclosures, enabling patent examiners to quickly evaluate patentability and transform the examination process.
AI agent maps patent claims to prior art for detailed reports.