Patents by Inventor Christopher D. BOYCE

Christopher D. BOYCE 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).

  • Publication number: 20240403372
    Abstract: Approaches provide for generating a document (e.g., a contract) that satisfies constraints of at least one party in negotiation. Information can be obtained from parties seeking to negotiate document sections (e.g., clauses or provisions) of a document such as a contract. Ranking values for a plurality of candidate contracts can be determined based on information from the parties, including their preferences for different sections (e.g., provisions) of the contract. The values can be used to optimize an optimization function that measures the degree to which candidate contracts satisfy the information provided by the parties. For example, an optimization technique, machine learning-based technique, or other appropriate technique can be utilized to determine a document or document information that satisfies the constraints of the parties. Thereafter, a contract can be selected and presented to the parties.
    Type: Application
    Filed: August 14, 2024
    Publication date: December 5, 2024
    Applicant: ISG Information Services Group Americas, Inc.
    Inventors: Christopher D. BOYCE, Paul N. FAHN, Peter A. GRAHAM
  • Publication number: 20210157862
    Abstract: Approaches provide for generating a document (e.g., a contract) that satisfies constraints of at least one party in a negotiation. Information can be obtained from parties seeking to negotiate document sections (e.g., clauses or provisions) of a document such as a contract. Ranking values for a plurality of candidate contracts can be determined based on information from the parties, including their preferences for different sections (e.g., provisions) of the contract. The values can be used to optimize an optimization function that measures the degree to which candidate contracts satisfy the information provided by the parties. For example, an optimization technique, machine learning-based technique, or other appropriate technique can be utilized to determine a document or document information that satisfies the constraints of the parties. Thereafter, a contract can be selected and presented to the parties.
    Type: Application
    Filed: February 2, 2021
    Publication date: May 27, 2021
    Applicant: CONFIDENTIALITY CORP
    Inventors: Christopher D. BOYCE, Paul N. FAHN, Peter A. GRAHAM
  • Publication number: 20190266196
    Abstract: Approaches provide for generating a document (e.g., a contract) that satisfies constraints of at least one party in a negotiation. Information can be obtained from parties seeking to negotiate document sections (e.g., clauses or provisions) of a document such as a contract. Ranking values for a plurality of candidate contracts can be determined based on information from the parties, including their preferences for different sections (e.g., provisions) of the contract. The values can be used to optimize an optimization function that measures the degree to which candidate contracts satisfy the information provided by the parties. For example, an optimization technique, machine learning-based technique, or other appropriate technique can be utilized to determine a document or document information that satisfies the constraints of the parties. Thereafter, a contract can be selected and presented to the parties.
    Type: Application
    Filed: February 22, 2019
    Publication date: August 29, 2019
    Applicant: CONFIDENTIALITY CORP
    Inventors: Christopher D. BOYCE, Paul N. FAHN, Peter A. GRAHAM