SYSTEMS AND METHODS FOR ASSESSING PATENT VALIDITY OR INVALIDITY USING ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, AND NATURAL LANGUAGE PROCESSING

摘要

Systems, methods, and computer program methods for assessing a validity or invalidity of a patent are described. A plurality of legal documents associated with a plurality of legal cases can be received, where at least one of the plurality of legal cases can be associated with a legal proceeding. The legal proceeding can be associated with a determination of a validity or invalidity of a patent. The patent can include at least one claim. The plurality of legal documents can be stored in one or more databases. One or more predetermined patterns can be applied to the plurality of legal documents to identify reference data. The reference data can be analyzed to develop one or more analytical or statistical models, and each analytical or statistical model can pertain to a different analytical parameter associated with a different attribute of the plurality of the legal documents. The validity or invalidity of the patent can be assessed based on the one or more analytical or statistical models. The assessment of the validity or invalidity of the patent can be displayed to one or more users.