DocuSign. has been granted a patent for an electronic document system that utilizes machine learning to identify and partition document packages into individual components. The system also determines document topics and modifies the user interface to display these components and their topics effectively. GlobalData’s report on DocuSign 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 DocuSign, Smart Contracts was a key innovation area identified from patents. DocuSign's grant share as of June 2024 was 43%. Grant share is based on the ratio of number of grants to total number of patents.
Electronic document system for partitioning and topic identification
The patent US12046011B2 outlines a method for processing document packages using machine learning techniques within an electronic document system. The method involves accessing a document package that contains multiple component documents, each comprising a subset of pages. A first machine learning model is applied to identify specific pages within these documents that possess predefined properties, such as the first page or last page. Following this identification, the document package is partitioned into individual component documents based on the identified pages. For each component document, a second machine learning model is utilized to determine the corresponding document topic, which is then displayed in a modified user interface.
Additionally, the patent describes the use of multiple machine learning models to enhance the identification process. For instance, a third model can identify last pages with different predefined properties, while a fourth model can label interim pages. The models are trained on labeled data sets, allowing them to recognize patterns and properties within the documents. The system also incorporates character recognition to improve the accuracy of identifying pages with predefined properties. Overall, this patent presents a comprehensive approach to automating the organization and categorization of document packages, facilitating easier access and management of digital documents.
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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.
