AI IP Search Platform for Faster Patent Licensing Matches

Solution Overview

Problem

The inefficiency and complexity of transferring or licensing registered patents for research, development, or production, due to the need for professional assistance and time-consuming procedures, hinder the effective utilization of patented technologies.

Innovation Solution

A computer-based method for searching target IPs using an artificial intelligence model, enabling easy identification and transaction of relevant IPs through a platform that facilitates contract execution, utilizing a language model trained with human feedback and blockchain technology to streamline the process.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If professional experts (lawyers, patent attorneys, accountants) are appointed for patent transfer and licensing procedures, then the reliability and correctness of the transactions are improved, but the time required and cost incurred increase significantly

Engineering Contradiction:

Improvetransaction reliabilityVSAvoidprocedure time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system enables patentees and potential licensees to conduct IP transactions independently through automated AI-based search, evaluation, and contract generation. The AI model performs patent valuation, availability assessment, and contract drafting without requiring professional intermediaries, allowing users to serve themselves while maintaining transaction reliability through systematic AI verification.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical system of human experts (lawyers, patent attorneys, accountants) with an automated AI-based system. The AI model performs functions previously requiring human professionals, such as patent search, valuation, availability checking, and contract generation, thereby eliminating the time and cost overhead associated with hiring experts while maintaining transaction reliability through structured AI processing.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If professional experts (lawyers, patent attorneys, accountants) are appointed for patent transfer and licensing procedures, then the correctness and completeness of the transactions are improved, but the cost incurred increases significantly

Engineering Contradiction:

Improvetransaction correctnessVSAvoidcost

Core Design Contradiction:

ReliabilityVSQuantity of substance

Solution Approach 1:

The system enables patentees and potential licensees to conduct IP transactions independently through automated AI-based search, evaluation, and contract generation. The AI model performs patent valuation, availability assessment, and contract drafting without requiring professional intermediaries, allowing users to serve themselves while maintaining transaction reliability through systematic AI verification.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical system of human experts (lawyers, patent attorneys, accountants) with an automated AI-based system. The AI model performs functions previously requiring human professionals, such as patent search, valuation, availability checking, and contract generation, thereby eliminating the time and cost overhead associated with hiring experts while maintaining transaction reliability through structured AI processing.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If comprehensive patent search and evaluation procedures are implemented, then the accuracy of IP matching is improved, but the time required for searching and evaluating increases

Engineering Contradiction:

ImproveIP matching accuracyVSAvoidsearch and evaluation time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces the mechanical system of human experts (lawyers, patent attorneys, accountants) with an automated AI-based system. The AI model performs functions previously requiring human professionals, such as patent search, valuation, availability checking, and contract generation, thereby eliminating the time and cost overhead associated with hiring experts while maintaining transaction reliability through structured AI processing.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The AI model processes patent information by transforming it into structured data representations and using machine learning algorithms to rapidly match patents with user requirements. This parameter transformation from unstructured text to structured data enables fast, accurate searching and evaluation without the time constraints of manual review processes.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentEP4682812A1Method for searching target ips for target item and computer device performing same

Publication Date: 2026.01.21 CHUN JONG YOON

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AI summary

A method for searching target IPs for a target item according to one embodiment is performed by a computer device. The method for searching target IPs for a target item includes the steps of: acquiring a query designating the target item; and on the basis of the query, searching a plurality of target IPs for a use in at least one selected from the group consisting of research on or the development and production of the target item. Here, the plurality of target IPs include IPs for at least two elements among elements of the target item and/or IPs for a technology combining the at least two elements for a use in the performance, operation, production, and utilization of the target item.