Jonestown, TX, United States of America

Richard Alan Vestal


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2022-2025

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Richard Alan Vestal: Innovator in Artificial Intelligence Driven Document Analysis

Introduction

Richard Alan Vestal is a notable inventor based in Jonestown, Texas. He has made significant contributions to the field of artificial intelligence, particularly in document analysis. With a total of two patents to his name, Vestal is recognized for his innovative approaches to leveraging AI in practical applications.

Latest Patents

Vestal's latest patents focus on systems and methods for artificial intelligence-driven document analysis. One of his key inventions involves the automated reuse of predictive coding rules based on the management and curation of datasets or models. This technology allows for the bundling of coded datasets associated with specific codes, enabling the creation of new datasets for different codes. The trained models can then provide predictive scores for documents within target corpora, enhancing the efficiency of document analysis. This method not only applies to the target corpus but can also be utilized across various other corpora.

Career Highlights

Richard Alan Vestal is currently employed at Cs Disco, Inc., where he continues to develop innovative solutions in the realm of artificial intelligence. His work has positioned him as a key player in the advancement of document analysis technologies.

Collaborations

Vestal collaborates with talented individuals such as Alan Justin Lockett and Verlyn Michael Fischer, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Richard Alan Vestal's contributions to artificial intelligence and document analysis exemplify the impact of innovative thinking in technology. His patents reflect a commitment to enhancing the efficiency and effectiveness of document management through advanced AI systems.

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