AI patent search uses natural language processing and machine learning to find relevant patents and non-patent literature by meaning, not exact keywords. It surfaces prior art that Boolean search misses, works across languages and jurisdictions, and reads claim language in...
Introduction Every patent application begins with a question: has this been done before? The answer — and how quickly and accurately teams can get to it — determines whether an R&D investment is protected or wasted. A patent novelty search...
Introduction Patent risk does not appear only at the moment of product launch. It builds across the entire product lifecycle — in the engineering decisions made before launch, in the competitor filings that publish while development is underway, and in...