DocuSign had 12 patents in future of work during Q1 2024. DocuSign Inc’s patents in Q1 2024 focus on enhancing online document systems through features like personalized recommendations based on machine learning, asynchronous work queues for processing tasks efficiently, bulk sending of documents with individual actions for recipients, real-time collaboration on shared documents with customizable visibility settings, and configuring, executing, and monitoring document workflows on cloud platforms using a platform-independent specification. 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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DocuSign grant share with future of work as a theme is 25% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Feature access control in a digital transaction management platform (Patent ID: US20240095403A1)
The patent filed by DocuSign Inc. describes an online document system that utilizes machine learning to recommend features to users based on their characteristics and historical activity within the system. The system identifies entities, applies a trained machine learning model to analyze their characteristics, and outputs recommendations for features within the online document system. These recommendations can include premium features like document auto-population and are sorted based on sponsorship and access rights.
The method and system outlined in the patent involve identifying entities, applying machine learning to recommend features, and outputting these recommendations to users based on their characteristics and historical activity. The recommendations can include premium features, and the system can adjust its recommendations based on user acceptance or rejection of features. Additionally, the patent covers the sorting of features based on sponsorship and access rights, providing users with relevant information on restrictions and requirements for accessing recommended features.
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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.
