Patent Application for Team Meeting Association System

ChangeBridge: Patent Apps - Business Methods (G06Q)

Detected March 26th, 2026

Summary

The USPTO has published patent application US20260087461A1, detailing a method and system for associating team information with meeting invitations using a machine learning model. The application was filed on December 4, 2025, and proposes adding a link to the most relevant team within the meeting invitation.

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What changed

This document is a published patent application (US20260087461A1) from the USPTO, detailing a method for automatically associating team information with meeting invitations. The proposed system uses a trained machine learning model to calculate a match metric based on invitee overlap with team members and the similarity between meeting topics and team topics. The application suggests adding a link to the most relevant team to the meeting invitation.

As this is a patent application, it does not impose immediate regulatory obligations. However, it signals potential future technological developments in how organizations manage meetings and team collaboration. Companies developing or utilizing such systems should be aware of this patent filing as it relates to intellectual property in business process automation and AI-driven productivity tools.

Source document (simplified)

← USPTO Patent Applications

METHODS AND SYSTEMS FOR ASSOCIATING A TEAM WITH A MEETING

Application US20260087461A1 Kind: A1 Mar 26, 2026

Inventors

Prasad RAJE, John WANG, Michael MACHADO

Abstract

A method for associating a meeting invitation with a team includes receiving a meeting invitation from an email system comprising names of invitees and receiving team information from a team system comprising names of team members and team topics. Using a trained machine learning model, a match metric representing similarity between teams and the meeting invitation is calculated. Calculating the match metric includes determining an attendee score based on invitees who are team members and a topic score based on comparison between a meeting topic and team topics. The match metric is based on the attendee score and topic score. The trained machine learning model uses names of invitees, names of team members, and team topics. The method further includes adding to the meeting invitation a link to the team with the highest match metric.