Hybrid artificial intelligence system for semi-automatic patent claims analysis

A computer-implemented method for performing patent claims analysis by software component, which when executed by a computer, cause the computer to perform operations comprising:

• displaying a user interface to enable a user to initiate a search based on a selected reference document;
• displaying options in the user interface that enable the user to narrow a focus of the search, the user interface operable to receive from the user a selection of one or more portions of the reference document to search against, and any tagged annotations for the reference document;
• submitting a query to find a set of patents that are semantical similar to the reference document;
• receiving a set of matching patents from the query;
• inputting text of the reference document and the tagged annotations into a trained machine learning (ML) model to transform reference document into reference document embeddings to determine meanings of a first set of words in the reference document;
• inputting text of the matching patents to the trained ML model to transform the set of matching patents, including claim elements, into patent embeddings to determine the meanings of a second set of words in the matching patents;
• for at least a portion of the patents, performing, by the trained ML model, an element-by-element search to find matches between the claim elements and the one or more portions of the reference document based on the meanings of the first set of words and the meanings of the second set of words;
• ranking the set of patents based on assigned confidence scores indicating a degree to which the patent embeddings of the respective claim elements match the reference document embeddings of the
• providing for viewing in the user interface a listing of the ranked set of patents, and for at least a portion of the set of patents, indications where matches occur between the claim elements and the one or more portions of the reference document.

An artificial intelligence (AI) system in communication with a client device over a network, the AI system to:

• display a user interface to enable a user to initiate a search based on a selected reference document;
• display options in the user interface that enable the user to narrow a focus of the search, the user interface operable to receive from the user a selection of one or more portions of the reference document to search against, and any tagged annotations for the reference document;
• submit a query to find a set of patents that are semantical similar to the reference document;
• receive a set of matching patents from the query;
• input text of the reference document and the tagged annotations into a machine learning (ML) model to determine meanings of a first set of words in the reference document;
• input text of at least a portion of the matching patents to the ML model to determine meanings of a second set of words in the matching patents;
• search the one or more portions of the reference document with claims from the matching patents to find matches between the claims and the one or more portions of the reference document based on the meanings of the first set of words and the tagged annotations, and the meanings of the second set of words;
• assign confidence scores indicating a degree to which respective ones of the claims match the one or more portions of the reference document;
• generate a ranked set of the patents based on the confidence scores;
• and
• display identifiers of the ranked set of patents and the assigned confidence A device may display a user interface to enable a user to initiate a search based on a selected reference document.