DocuSign was granted a patent for tracking document amendments online.

{
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  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-10-14T15:52:34+00:00",
  "company": {
    "name": "DocuSign",
    "domain": "docusign.com"
  },
  "data": {
    "cpc": [
      {
        "code": "G06F 40/169",
        "label": "Electric digital data processing"
      },
      {
        "code": "G06F 40/295",
        "label": "Electric digital data processing"
      },
      {
        "code": "G06N 20/00",
        "label": "Computing arrangements based on specific computational models"
      },
      {
        "code": "G06V 30/1444",
        "label": "Image or video recognition or understanding"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Document Management",
      "Artificial Intelligence",
      "Collaboration / Web Apps"
    ],
    "detail": "In October 2026 DocuSign patented a machine-learning system for organizing changes across contracts and other documents in an online workspace.",
    "summary": "DocuSign was granted a patent for tracking document amendments online.",
    "event_at": "2026-10-13",
    "inventors": [
      {
        "name": "Surendra Kumar Chilamkurthi",
        "status": "resolved",
        "is_primary": true,
        "linkedin_url": "https://www.linkedin.com/in/surendra-kumar-chilamkurthi-56314279"
      },
      {
        "name": "Heidi Robin Lyons",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Anirudha Vedavyasa Murthy Bharadwaj",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/bharadwaj97"
      },
      {
        "name": "Shivi Singh Verma",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/shivi2017"
      },
      {
        "name": "Aaron Eugene Preston Jackson Wilde",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Cynthia Rosser",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/cynthiarosser"
      }
    ],
    "tech_area": "software / computing",
    "event_kind": "grant_date",
    "grant_date": "2026-10-13",
    "source_url": "https://patents.google.com/patent/US12762328",
    "cpc_primary": {
      "code": "G06F 40/169",
      "label": "Electric digital data processing"
    },
    "patent_title": "Amendment tracking in an online document system",
    "patent_number": "US12762328",
    "uspto_assignee": "Docusign, Inc.",
    "patent_abstract": "An online document system can allow users to track various amendments made over time and corresponding to an original document. The online document system accesses the original document comprising a plurality of content sections and a set of amendment documents each comprising one or more amendments to the original document. The online document system applies a machine-learned model to the original document and the set of amendment documents to identify, for each amendment, a content section of the plurality that corresponds to the amendment and a type of amendment corresponding to the amendment. The online document system generates an amended original document comprising the plurality of content sections modified to include each amendment. The online document system displays the amended original document by displaying each of the plurality of content sections and, in conjunction with each content section, any amendments corresponding to the content section are highlighted.",
    "precision_class": "structural",
    "invention_explanation": "A system that compares an original document with later amendment files and links each change to the section it affects.",
    "technologies_mentioned": [
      "document management",
      "machine learning",
      "online collaboration"
    ]
  }
}

curl https://signals.autobound.ai/v1/signals/00772a49-70d5-59df-b827-ff67d640f3a8 \
  -H "X-API-KEY: $AUTOBOUND_API_KEY"

curl -X POST https://signals.autobound.ai/v1/companies/enrich \
  -H "X-API-KEY: $AUTOBOUND_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"domain":"docusign.com","limit":20}'