Patents by Inventor Shaheen Umer

Shaheen Umer has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12681973
    Abstract: A method, a system, and a computer program product for determining renewal of agreement documents. A first machine learning model is used to generate one or more portions of a document. Each portion of the document is associated with a predetermined subject. A query is generated using the predetermined subject. The query and one or more definitions of one or more attributes are provided to a second machine learning model. At least one attribute and a value assigned to the attribute are received from the second machine learning model. The value is extracted from one or more portions and assigned to the attribute. A graphical user interface displaying the attribute and the value assigned to the attribute is generated.
    Type: Grant
    Filed: May 30, 2024
    Date of Patent: July 14, 2026
    Assignee: Docusign, Inc.
    Inventors: Hiral Shah, Shaheen Umer, Ramachandra Kota, Shubham Gupta, Dipam Haresh Vasani, Shreeya Singh Dhakal, Cong Minh Phan, Ashwath Saran Mohan, Joshua Katowitz, Anthony Shalagin, Celine Beck, Jennifer Park
  • Publication number: 20250315555
    Abstract: A method, a system, and a computer program product for identifying sensitive data. A plurality of text portions associated with one or more data subjects is identified. A machine learning model is applied to the identified plurality of portions to extract one or more entities representative of one or more data subjects. The entities are grouped into one or more entity groups. Based on one or more entity groups, at least one data subject is identified for replacement or redaction in at least one text portion in the plurality of text portions.
    Type: Application
    Filed: April 9, 2024
    Publication date: October 9, 2025
    Applicant: DocuSign, Inc.
    Inventors: Yangcheng Huang, Souleiman Hasan, Sean Mahon, Yan He, Chenghao Mou, Nghia Pham, Alberto Mario Bellini, Shaheen Umer, Moe Basi
  • Publication number: 20250307749
    Abstract: A method, an apparatus, and a computer-readable storage medium for executing obligation management. One or more document portions are extracted from an electronic document using at least one machine learning model selected from a plurality of machine learning models based on at least one parameter associated with the electronic document. One or more entities are identified in one or more document portions of the electronic document. The entities are sent to a generative artificial intelligence (AI) model. The generative AI model is configured to generate one or more rules defining one or more obligations associated with one or more entities. One or more rules are executed to monitor compliance with one or more obligations by one or more entities.
    Type: Application
    Filed: March 29, 2024
    Publication date: October 2, 2025
    Applicant: DocuSign, Inc.
    Inventors: Hiral Shah, Joshua Katowitz, Shaheen Umer