A contract compliance auxiliary auditing method and system based on a large language model

Abstract

The application discloses a contract compliance auxiliary auditing method and system based on a large language model, relates to the technical field of artificial intelligence auditing, and comprises the following steps: performing semantic analysis on industry templates and agreement terms to obtain contract semantics, determining the mapping relationship between the contract semantics and legal terms and the conflict situation of the contract semantics, determining the contract target tendency based on the identification of rights and obligations subjects based on the industry templates, defining the risk value of the corresponding legal terms based on the contract target tendency to construct a static auditing unit, constructing a variable factor library and generating a simulation scene according to the variable factor library to construct a live auditing unit, inputting contract details into the static auditing unit for analysis to obtain contract terms and corresponding grades, inputting the contract terms output in the static auditing unit into the live auditing unit for sensitivity analysis to obtain a risk heat map and a performance suggestion. The application provides the performance suggestion based on real-time data for enterprises by using the above method, and effectively deals with potential disputes caused by market uncertainty.

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