AI Chatbot Scraping Emails for Patentable Ideas
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Solution Overview
Problem
Identifying patentable ideas within company emails is challenging due to the vast amount of available information, and conventional techniques are inefficient in determining novel ideas that may not be recognized as patentable, especially in fields like software and business methods where stringent criteria apply.
Innovation Solution
A computer system and method using machine learning (ML) and artificial intelligence (AI) chatbots to scrape emails, analyze text, and compare identified concepts to patent databases, generating novelty scores and suggesting patentable ideas, questions for meetings, connections between employees and projects, and assessing employee satisfaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional techniques are used to search patent databases, then existing patents can be found, but novel ideas that may not be recognized as patentable are missed
Solution Approach 1:
The patent introduces an AI chatbot as an intermediary system between email communications and patent databases. The chatbot analyzes email content, identifies potential patentable ideas, and performs preliminary searches against patent databases, serving as a mediator that enhances both accuracy and efficiency in the patentability assessment process
Solution Approach 2:
The patent replaces conventional manual search techniques with an AI-based automated system. The chatbot uses natural language processing and machine learning algorithms to analyze email content and perform patentability assessments, substituting mechanical manual processes with intelligent automated systems that can handle complex analysis more effectively
2Reliability
If engineers manually identify patentable ideas from emails, then they can recognize novel concepts, but the process is time-consuming and inefficient
Solution Approach 1:
The patent implements a self-service system where the AI chatbot autonomously performs patentability assessments without requiring manual intervention from engineers. The chatbot automatically analyzes email content, searches patent databases, and provides assessments, enabling the system to serve itself and eliminating time-consuming manual processes while maintaining reliable assessments through AI-driven analysis
3Productivity
If AI chatbots are used to analyze emails, then patentable ideas can be identified efficiently, but the complexity of the system increases
Solution Approach 1:
The patent designs the AI chatbot as a multi-functional system that handles multiple tasks including email analysis, patent database searching, idea identification, and novelty assessment. By consolidating these functions into a single universal chatbot system, the patent reduces overall system complexity compared to having separate specialized systems for each function, while maintaining high productivity in patentable idea identification
Data Source
AI summary
The following relates generally to using artificial intelligence (AI) and/or machine learning (ML) to identify patentable ideas from company emails. In some embodiments, one or more processors: access one or more email messages; identify, via a machine learning (ML) chatbot trained to analyze text and generate text, one or more patentable concepts in the one or more email messages; compare the one or more patentable concepts to a patent database including published patent applications with respective publication dates on or before the date of database access, wherein comparing includes generating a comparison document indicating at least one difference and/or at least one similarity between the one or more patentable concepts and the patent applications of the patent database, wherein the comparing includes using the ML chatbot; and generate, based upon the comparison, one or more novelty scores for each of the one or more patentable concepts.