LLM Claim Drafting With Patent Search Feedback
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Solution Overview
Problem
There is a challenge in effectively supporting both inventors and patent engineers in understanding the technical content of an invention and creating appropriate claims, as well as performing an efficient patent search.
Innovation Solution
A text generation system and method utilizing a language model, comprising a first data processing device for generating key points and claim proposals, a second data processing device for patent searching, and a third data processing device for integrating these functions to create and optimize claims and search formulas, leveraging large language models like GPT-4 and Llama2/3.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a language model is used to generate claims and patent search formulas, then the ease of operation is improved, but the manufacturing precision deteriorates
Solution Approach 1:
The patent introduces a patent engineer as an intermediary between the inventor and the language model. The patent engineer reviews, edits, and refines the AI-generated claims to ensure legal accuracy and precision, thus maintaining high manufacturing precision while benefiting from the ease of operation provided by automated generation
Solution Approach 2:
The system implements a feedback loop where generated claims are evaluated by patent engineers, and their corrections are fed back to refine the language model's output. This iterative process improves the precision of claim drafting over time while maintaining operational efficiency
2Productivity
If multiple data processing devices are used to integrate language model processing and patent searching, then the productivity is improved, but the device complexity increases
Solution Approach 1:
The system is divided into distinct functional modules: a language model processing unit for generating claims and search formulas, a patent search unit for retrieving relevant patents, and an integration unit for coordinating these functions. This segmentation allows each component to specialize in its function, improving overall productivity while managing complexity through modular design
Solution Approach 2:
The third data processing device serves multiple functions: it integrates the language model output, formulates patent search queries, executes the searches, and synthesizes results. This multi-functionality reduces the need for separate specialized devices, improving productivity without proportionally increasing system complexity
Data Source
AI summary
A text generation system that supports understanding of both an inventor and a patent engineer and supports creation of appropriate claims for the invention in patent application. The text generation system is configured to perform processing using a language model, create a key point of the invention from material of the invention, create a claim proposal from the key point of the invention, and create a search formula from the claim proposal. In addition, the text generation system is configured to perform a patent search with use of the search formula.