Abstract: A patent matching analysis system receives an input indicating a source patent or a court case. When the input indicates a court case, the system identifies a patent associated with the court case, which is deemed as a source patent. For each source patent, the system retrieves a source patent document, parses textual information of the source patent document using an NLP engine, extracts a first set of features, and generates a first feature vector. The system then identifies multiple candidate patents. For each of the candidate patents, the system retrieves a candidate patent document, parses the textual information, extracts a second set of features, and generates a second feature vector. The system then determines a similarity between the first and second feature vectors. Based on the determined similarities, the system identifies one or more target patents, and visualizes the source patent and the determined target patents.