Austin, TX, United States of America

Andrew Jason Lavery

This inventor holds 56 USPTO granted patents and 14 published patent applications, primarily in Natural Language Processing (CPC class G06F). Top assignees: International Business Machines Corporation, Google Inc., Wayfair LLC. Active years: 2008-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Andrew Jason Lavery. Retrieved from https://idiyas.com/inventor/andrew-jason-lavery

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

USPTO Granted Patents = 56 

% Patents Active = 64.3

Average Co-Inventor Count = 3.8

ph-index = 6

Forward Citations = 169(Granted Patents)

Forward Citations (Not Self Cited) = 158(Dec 10, 2025)


Inventors with similar research interests:


Company Filing History:


Years Active: 2008-2026

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Areas of Expertise:
Natural Language Processing
Autonomous Spreadsheets
Document Analysis
User Interactions
Cognitive Systems
Medical Treatment Guidance
Data Processing
Speech Recognition
Error Detection
Dynamic Updates
Financial Instruments
Risk Evaluation
56 patents (USPTO):Explore Patents

Title: Andrew Jason Lavery: Innovator in Financial Technologies and Document Automation

Introduction

Andrew Jason Lavery is an accomplished inventor based in Austin, Texas, known for his significant contributions to the fields of financial technology and document automation. With an impressive portfolio of 53 patents, Lavery continues to push the boundaries of innovation.

Latest Patents

Among his latest patents, Lavery has introduced groundbreaking concepts such as User-Created Financial Instruments. This innovation allows for the analysis of images of financial instruments, determining various properties and rating their uniqueness. Furthermore, it identifies the terms of the financial instrument, recording them in a digital storage base for efficient retrieval.

Another remarkable patent from Lavery is the method for Autonomous Spreadsheet Creation. This technique involves receiving a natural language query, which is then processed into a data access query for external data sources. The innovation generates a document with a tabular structure, populating it with relevant data automatically, making the document creation process seamless and efficient.

Career Highlights

Lavery has an impressive career with key roles at notable companies such as IBM and Wayfair. His experience in these organizations has allowed him to develop and refine his innovative ideas, leading to his substantial patent portfolio.

Collaborations

Throughout his career, Lavery has collaborated with talented individuals in the industry, including coworkers Mario Alessandro Maldari and Fernando Jose Suarez Saiz. These partnerships have significantly influenced his work and contributed to his achievements in the field of innovation.

Conclusion

Andrew Jason Lavery exemplifies the spirit of innovation in technology and automation. His dedication to creating impactful solutions is evident through his numerous patents and collaborations. As he continues to develop new ideas, Lavery remains a vital figure in the landscape of cutting-edge inventions.

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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