Semantic Matching
Semantic matching in patent prior art search involves utilizing natural language processing (NLP) and machine learning techniques to understand the meaning and context of patent documents, enabling more nuanced comparisons beyond simple keyword matching.
Prior Art Search
Utilizing natural language processing (NLP) and machine learning techniques for automated search and retrieval of prior art documents pertinent to a patent application, with semantic search capabilities to identify similar or related patents based on concepts and technical details.
Claim Generation
Automatic generation of patent claims based on the description of the invention. Compliance checking to ensure that claims meet legal requirements and are properly structured.