This article explores the potential of AI to solve the core challenges of NPL legal due diligence, analyzes its challenges and boundaries, and looks at future trends.

With the continuous progress of the construction of the rule of law in the financial field of our country and the continuous development of the securities market, the regulation of securities crimes is also gradually improving

In recent years, artificial intelligence (AI) technology has been fully deployed and applied in all walks of life, and AI has also reshaped the service model and business form of the financial industry to a certain extent. In addition, with the explosion of DeepSeek in 2025

We believe that when investing in a major project, the feasibility and rationality of the plan should be demonstrated and discussed in advance, and the common achievements in business and reputation should be achieved through a reasonable and balanced equity structure design, which is the only way to succeed.

The Quality part (2) of the Compliance Manual of Construction Engineering focuses on the contents of project acceptance, warranty and construction change, and puts forward relevant compliance suggestions. Detailed project completion acceptance procedures, such as after the completion of the project, the construction unit to submit the project completion report to the construction unit to apply for project completion acceptance; The necessary conditions for the acceptance of the project, such as the completion of the design and the contents stipulated in the contract. A comprehensive interpretation of the concept of warranty and common legal risk manifestations. The concept of construction change, its influence on project quality and countermeasures are analyzed.

This paper analyzes three aspects of compliance risks involved in online brand marketing business, including false or misleading commercial advertising behavior (hereinafter referred to as "false advertising behavior"), reverse brushing behavior and interference with search engine algorithms. This paper aims to analyze these three types of behaviors under the framework of the Provisional Provisions and the revised Anti-Unfair Competition Law, to help relevant enterprises identify potential legal risks, and to provide compliance recommendations.