Language Model Claim Interpretation for Multi-Objective Patent Analysis
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Solution Overview
Problem
Existing patent documents require human experts for interpretation, leading to inefficiencies in tasks such as determining claim infringement, validity, and patentability.
Innovation Solution
A computer-implemented method using language models to optimize patent analysis by evaluating sub-objective functions with product, prior art, and patent claim data to generate interpretations, minimizing objective functions for tasks like patent infringement, validity, and patentability workflows.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human experts interpret patent documents for determining claim infringement and validity, then interpretation accuracy is maintained, but productivity and efficiency are reduced
Solution Approach 1:
The patent introduces an optimization system with objective functions as intermediaries between patent documents and human expert interpretation. The system processes patent claims, product data, and prior art through multiple sub-objective functions (infringement determination, validity assessment, patentability evaluation) to generate structured outputs that assist human experts, thereby maintaining accuracy while improving efficiency.
2Reliability
If human experts manually analyze patent claims and prior art, then comprehensive interpretation is achieved, but loss of time increases
Solution Approach 1:
The patent applies preliminary action by pre-processing patent claims, product data, and prior art documents through the optimization system before human expert review. The system generates preliminary interpretations, infringement assessments, validity evaluations, and patentability determinations in advance, reducing the time required for human experts to perform comprehensive analysis while maintaining interpretation completeness.
3Measurement precision
If multiple patent documents are analyzed manually for infringement and validity, then thorough assessment is achieved, but productivity decreases
Solution Approach 1:
The patent segments the complex task of patent document analysis into multiple independent sub-objective functions: infringement determination, validity assessment, and patentability evaluation. Each sub-objective function processes specific aspects of patent claims, product data, and prior art independently, allowing parallel processing of multiple patent documents while maintaining thorough assessment through the structured optimization framework.
Data Source
AI summary
A computer-implemented method: (A) receives product data identifying a product; (B)(B) receives patent data identifying a patent claim; (C) receives prior art data identifying a set of prior art, (D) executes an optimization process to minimize an objective function, the objective function including: a first sub-objective function and a second sub-objective function, the executing the optimization process comprising: (D)(1) generating a plurality of interpretations of the patent claim, (D)(2) for each particular interpretation in the plurality of interpretations of the patent claim: (D)(2)(a) using a first language model to evaluate the first sub-objective function with the product data and the particular interpretation as inputs to the first sub-objective function, (D)(2)(b) using a second language model to evaluate the second sub-objective function with the prior art data and the particular interpretation as inputs to the second sub-objective function.