Patents by Inventor Ian C. Schick

Ian C. Schick 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: 20250148194
    Abstract: Methods, systems, and storage media for determining potential subject matter conflicts among patent matters are disclosed. Exemplary implementations may: obtain two or more documents associated with patent documents; determine a topical distance between the two or more documents, a first topical distance being the topical distance between the first document and the second document; determine whether the topical distance between the two or more document breaches a threshold, a first threshold being associated with the first topical distance between the first document and the second document; and responsive to a determination that the topical distance breaches the threshold, provide an indication that the threshold was breached.
    Type: Application
    Filed: January 9, 2025
    Publication date: May 8, 2025
    Inventors: Ian C. Schick, Kevin Knight
  • Patent number: 11651160
    Abstract: Systems and methods for using machine learning and rules-based algorithms to create a patent specification based on human-provided patent claims such that the patent specification is created without human intervention are disclosed. Exemplary implementations may: obtain a claim set; obtain a first data structure representing the claim set; obtain a second data structure; obtain a third data structure; and determine one or more sections of the patent specification based on the first data structure, the second data structure, and the third data structure.
    Type: Grant
    Filed: January 10, 2020
    Date of Patent: May 16, 2023
    Assignee: Specifio, Inc.
    Inventors: Ian C. Schick, Kevin Knight
  • Patent number: 11593564
    Abstract: Systems, methods, and storage media for extracting patent document templates from a patent corpus are disclosed. Exemplary implementations may: obtain a patent corpus; receive one or more parameters; determine one or more subsets of the patent corpus by filtering the patent corpus based on the one or more parameters; identify one or more document clusters within individual ones of the one or more subsets of the patent corpus; obtain a patent document template corresponding to the first document cluster; and/or perform other operations.
    Type: Grant
    Filed: June 15, 2020
    Date of Patent: February 28, 2023
    Assignee: Specifio, Inc.
    Inventors: Ian C. Schick, Kevin Knight
  • Patent number: 11188664
    Abstract: Systems and methods for facilitating editing of a confidential document by a non-privileged person by stripping away content and meaning from the document without human intervention such that only structural and/or grammatical information of the document are conveyed to the non-privileged person are disclosed. Exemplary implementations may: receive an electronic document including text conveying one or more confidential concepts; provide a content-stripped version of the electronic document to a human editor; receive an edited content-stripped version of the electronic document; and provide an edited electronic document based on the edited content-stripped version such that human-editor-provided changes were effectuated without the human editor ever being exposed to the content and meaning contained in the electronic document.
    Type: Grant
    Filed: March 10, 2020
    Date of Patent: November 30, 2021
    Assignee: Specifio, Inc.
    Inventors: Ian C. Schick, Kevin Knight, Jay Priyadarshi, Xing Shi
  • Publication number: 20210232759
    Abstract: Systems and methods for providing a data structure representing patent claims are disclosed. Exemplary implementations may: obtain a claim set; process a claim line of the claim set; identify one or more features in the claim fine to be stored in the data structure; and store the one or more features in the data structure.
    Type: Application
    Filed: April 14, 2021
    Publication date: July 29, 2021
    Inventors: Ian C. Schick, Kevin Knight, Jay Priyadarshi, Xing Shi
  • Patent number: 11023662
    Abstract: Systems and methods for providing adaptive surface texture in auto-drafted patent documents are disclosed. Exemplary implementations may: obtain a plurality of style attributes, a given style attribute being descriptive of a type of document characteristic that is often-repeated or habitual in patent documents; obtain values for the plurality of style attributes, a given value of a style attribute being descriptive of a specific document characteristic that is often-repeated or habitual in one or more sample patent documents; and provide an auto-drafted patent document exhibiting the values for the plurality of style attributes.
    Type: Grant
    Filed: April 3, 2020
    Date of Patent: June 1, 2021
    Assignee: Specifio, Inc.
    Inventors: Ian C. Schick, Kevin Knight, Jay Priyadarshi, Xing Shi
  • Publication number: 20200311351
    Abstract: Systems, methods, and storage media for extracting patent document templates from a patent corpus are disclosed. Exemplary implementations may: obtain a patent corpus; receive one or more parameters; determine one or more subsets of the patent corpus by filtering the patent corpus based on the one or more parameters; identify one or more document clusters within individual ones of the one or more subsets of the patent corpus; obtain a patent document template corresponding to the first document cluster; and/or perform other operations.
    Type: Application
    Filed: June 15, 2020
    Publication date: October 1, 2020
    Inventors: Ian C. Schick, Kevin Knight
  • Patent number: 10747953
    Abstract: Systems and methods for automatically creating a patent application based on a claim set such that the patent application follows a document plan inferred from an example document are disclosed. Exemplary implementations may: obtain one or more example documents, a given example document including a patent document; identify common formatting features among the one or more example documents; determine a document plan for a patent application based on information gained from the one or more example documents; receive one or more previously unseen patent claims; and use computerized natural language generation to automatically create a new patent application based on both the document plan and the one or more patent claims such that the new patent application reflects subject matter of the one or more patent claims and is otherwise consistent with the one or more example documents.
    Type: Grant
    Filed: July 2, 2018
    Date of Patent: August 18, 2020
    Assignee: SPECIFIO, INC.
    Inventors: Jay Priyadarshi, Ian C. Schick, Xing Shi, Kevin Knight
  • Publication number: 20200234000
    Abstract: Systems and methods for providing adaptive surface texture in auto-drafted patent documents are disclosed. Exemplary implementations may: obtain a plurality of style attributes, a given style attribute being descriptive of a type of document characteristic that is often-repeated or habitual in patent documents; obtain values for the plurality of style attributes, a given value of a style attribute being descriptive of a specific document characteristic that is often-repeated or habitual in one or more sample patent documents; and provide an auto-drafted patent document exhibiting the values for the plurality of style attributes.
    Type: Application
    Filed: April 3, 2020
    Publication date: July 23, 2020
    Inventors: Ian C. Schick, Kevin Knight, Jay Priyadarshi, Xing Shi
  • Patent number: 10713443
    Abstract: Systems and methods for enhancing the depth and richness of content in computer-generated patent applications by providing non-explicit support for individual claim features are disclosed. Exemplary implementations may: receive a previously unseen claim feature, the previously unseen claim feature being absent from the previously received patent documents; provide one or more sentences of never-been-seen-before computer-generated text using the trained machine learning model and the previously unseen claim feature as input; and insert the one or more sentences of non-explicit support in a draft patent application proximal to explicit support for the previously unseen claim feature.
    Type: Grant
    Filed: May 31, 2018
    Date of Patent: July 14, 2020
    Assignee: Specifio, Inc.
    Inventors: Kevin Knight, Ian C. Schick, Jay Priyadarshi
  • Publication number: 20200210603
    Abstract: Systems and methods for facilitating editing of a confidential document by a non-privileged person by stripping away content and meaning from the document without human intervention such that only structural and/or grammatical information of the document are conveyed to the non-privileged person are disclosed. Exemplary implementations may: receive an electronic document including text conveying one or more confidential concepts; provide a content-stripped version of the electronic document to a human editor; receive an edited content-stripped version of the electronic document; and provide an edited electronic document based on the edited content-stripped version such that human-editor-provided changes were effectuated without the human editor ever being exposed to the content and meaning contained in the electronic document.
    Type: Application
    Filed: March 10, 2020
    Publication date: July 2, 2020
    Inventors: Ian C. Schick, Kevin Knight, Jay Priyadarshi, Xing Shi
  • Publication number: 20200151393
    Abstract: Systems and methods for using machine learning and rules-based algorithms to create a patent specification based on human-provided patent claims such that the patent specification is created without human intervention are disclosed. Exemplary implementations may: obtain a claim set; obtain a first data structure representing the claim set; obtain a second data structure; obtain a third data structure; and determine one or more sections of the patent specification based on the first data structure, the second data structure, and the third data structure.
    Type: Application
    Filed: January 10, 2020
    Publication date: May 14, 2020
    Inventors: Ian C. Schick, Kevin Knight
  • Patent number: 10621371
    Abstract: Systems and methods for facilitating editing of a confidential document by a non-privileged person by stripping away content and meaning from the document without human intervention such that only structural and/or grammatical information of the document are conveyed to the non-privileged person are disclosed. Exemplary implementations may: receive an electronic document including text conveying one or more confidential concepts; provide a content-stripped version of the electronic document to a human editor; receive an edited content-stripped version of the electronic document; and provide an edited electronic document based on the edited content-stripped version such that human-editor-provided changes were effectuated without the human editor ever being exposed to the content and meaning contained in the electronic document.
    Type: Grant
    Filed: March 26, 2018
    Date of Patent: April 14, 2020
    Assignee: Specifio, Inc.
    Inventors: Ian C. Schick, Kevin Knight, Jay Priyadarshi, Xing Shi
  • Patent number: 10572600
    Abstract: Systems and methods for using machine learning and rules-based algorithms to create a patent specification based on human-provided patent claims such that the patent specification is created without human intervention are disclosed. Exemplary implementations may: obtain a claim set; obtain a first data structure representing the claim set; obtain a second data structure; obtain a third data structure; and determine one or more sections of the patent specification based on the first data structure, the second data structure, and the third data structure.
    Type: Grant
    Filed: July 12, 2019
    Date of Patent: February 25, 2020
    Assignee: Specifio, Inc.
    Inventors: Ian C. Schick, Kevin Knight
  • Publication number: 20190332674
    Abstract: Systems and methods for using machine learning and rules-based algorithms to create a patent specification based on human-provided patent claims such that the patent specification is created without human intervention are disclosed. Exemplary implementations may: obtain a claim set; obtain a first data structure representing the claim set; obtain a second data structure; obtain a third data structure; and determine one or more sections of the patent specification based on the first data structure, the second data structure, and the third data structure.
    Type: Application
    Filed: July 12, 2019
    Publication date: October 31, 2019
    Inventors: Ian C. Schick, Kevin Knight
  • Patent number: 10417341
    Abstract: Systems and methods for using machine learning and rules-based algorithms to create a patent specification based on human-provided patent claims such that the patent specification is created without human intervention are disclosed. Exemplary implementations may: obtain a claim set; obtain a first data structure representing the claim set; obtain a second data structure; obtain a third data structure; and determine one or more sections of the patent specification based on the first data structure, the second data structure, and the third data structure.
    Type: Grant
    Filed: February 9, 2018
    Date of Patent: September 17, 2019
    Assignee: Specifio, Inc.
    Inventors: Ian C. Schick, Kevin Knight
  • Publication number: 20180232361
    Abstract: Systems and methods for using machine learning and rules-based algorithms to create a patent specification based on human-provided patent claims such that the patent specification is created without human intervention are disclosed. Exemplary implementations may: obtain a claim set; obtain a first data structure representing the claim set; obtain a second data structure; obtain a third data structure; and determine one or more sections of the patent specification based on the first data structure, the second data structure, and the third data structure.
    Type: Application
    Filed: February 9, 2018
    Publication date: August 16, 2018
    Inventors: Ian C. Schick, Kevin Knight