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AI for patent searching: From prior art to future frontiers
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About This Webinar
Patent searching is hard. It relies on data that is dispersed across many thousands of documents. That data is often written to protect intellectual property rather than reveal scientific intent. And it often uses inconsistent language. These are areas where AI tools promise the most upside for intellectual property research.
Join a panel of CAS scientists and AI experts for a practical look at how AI is changing patent research today. We'll cover the types of AI used, what AI does well, where it struggles, and why the quality and structure of the underlying data determine whether AI returns reliable, comprehensive results or confident-sounding gaps.
What You Will Learn
- Why patent literature is uniquely difficult for general-purpose AI tools, and what it takes to get reliable results
- Where AI delivers real value across the patent workflow, and where human expertise remains essential
- How patent analysis at scale can reveal where a scientific field is heading, drawn from a recent CAS pharma patent landscape report that analyzed more than 368,000 filings across 90+ patent offices
Registration is closed. The webinar recording will be viewable in 48 hours.