Autonomous Spreadsheet Creation from Natural Language Queries
Summary
The USPTO published patent application US20260099668A1 titled 'Autonomous Spreadsheet Creation.' The application covers a method for receiving a natural language query requesting a document with a tabular structure, identifying attribute categories, converting the query into a data access query for external data sources, retrieving data items corresponding to those categories, and populating spreadsheet cells with the retrieved data items. The application was filed on December 11, 2025, and names Andrew J. Lavery, Earl J. Wagner, and Matthew Albright as inventors.
What changed
The USPTO published a patent application covering an AI-driven method for converting natural language queries into structured spreadsheet documents. The method involves receiving a natural language request for a tabular document, identifying relevant attribute categories, constructing a data access query, retrieving data from external sources, and populating cells with the retrieved information. CPC classifications indicate focus areas in natural language interfaces, information retrieval, and knowledge-based AI systems.
Technology companies developing AI-powered productivity tools, natural language interfaces for data systems, or document automation software should monitor this application for potential licensing implications or competitive landscape considerations. The method's scope covers end-to-end generation from query to populated spreadsheet.
Archived snapshot
Apr 21, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
AUTONOMOUS SPREADSHEET CREATION
Application US20260099668A1 Kind: A1 Apr 09, 2026
Inventors
Andrew J. Lavery, Earl J. Wagner, Matthew Albright
Abstract
A method includes receiving, by a processing device, a natural language query corresponding to a request to create a document having a tabular structure, identifying, by the processing device, one or more attribute categories pertaining to the document, converting, by the processing device, the natural language query into a data access query for accessing at least one external data source, retrieving, by the processing device from the at least one external data source, a plurality of data items corresponding to the one or more attribute categories, and generating, by the processing device, the document by populating each cell of a plurality of cells of the document with a respective data item of the plurality of data items.
CPC Classifications
G06F 40/18 G06F 16/953 G06F 40/40 G06N 5/02
Filing Date
2025-12-11
Application No.
19417116
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