San Francisco, CA, United States of America

Casey Hudetz

This inventor holds 1 USPTO granted patent. Top assignee: Docusign, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Casey Hudetz. Retrieved from https://idiyas.com/inventor/casey-hudetz

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Casey Hudetz and AI-Powered Document Search

Introduction

Casey Hudetz is an inventor based in San Francisco, California. Her patent work concerns artificial intelligence tools that help people search and understand electronic documents. She is associated with Docusign, Inc., and has 1 patent listed in the information provided.

Latest Patents

Hudetz’s patent, “Semantic Search and Summarization for Electronic Documents,” describes techniques for using an AI platform to search electronic documents or collections of documents for specific types of information. The system can apply artificial intelligence and machine learning within an electronic document management framework, then summarize relevant information in natural language.

Career Highlights

The patent reflects work at the intersection of AI, machine learning, and document management. Its described capabilities aim to make information in electronic documents easier to locate and understand.

Collaborations

The provided information names Keenan Wells and Yan He as Hudetz’s coworkers. Their inclusion points to a collaborative professional setting at Docusign, Inc.

Conclusion

Casey Hudetz’s patent focuses on semantic document search and natural-language summarization, illustrating how AI can help users find and interpret information in electronic records.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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