Aon‘s patent involves a method for analyzing patent claims by generating search strings, utilizing natural language processing techniques, and machine learning models to identify elements of claims. The system sends search strings to a third-party authority and ranks documents for patent-centric analysis. GlobalData’s report on Aon gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Aon, was a key innovation area identified from patents. Aon's grant share as of February 2024 was 42%. Grant share is based on the ratio of number of grants to total number of patents.
Patent analysis and infringement reports generation system
A recently granted patent (Publication Number: US11928427B2) discloses a method and system for analyzing patent documents using natural language processing techniques and machine learning models. The method involves receiving a patent document, generating noun phrases for the patent claim, identifying elements of the claim, determining the breadth of the element, generating a search string based on the element, sending the search string to a third-party searching authority, obtaining additional patent documents, analyzing the frequency of occurrence of words in these documents, and ranking them based on specific criteria. The system includes communication interfaces, processors, and computer-readable media storing instructions for performing the method operations.
Furthermore, the patent also describes additional operations such as analyzing words in individual documents, generating mappings between claim elements and document portions, determining the validity of claims, identifying independent and dependent claims, ranking patent documents based on frequency of occurrence of terms, modifying rankings of documents, and generating user interfaces displaying the analyzed data. The method and system aim to enhance the efficiency and accuracy of patent analysis by utilizing advanced natural language processing techniques, machine learning models, and specific criteria for ranking patent documents, ultimately providing valuable insights for patent professionals and researchers in the field.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
