The intelligent risk control engine embedded in the business process, leveraging the semantic understanding capabilities of the large model, can conduct real-time scanning and issue warnings for potential legal risks throughout the entire lifecycle of contract drafting, approval, signing, and execution.

Based on the risk identification results and the enterprise's preferences, the generation-based AI is utilized to automatically complete the revision of contract or institutional documents, significantly shortening the legal review cycle and enhancing the business response speed.

Through a two-way mechanism, external compliance requirements and internal practical experience are transformed into retrievable, reusable and evolving core assets of the enterprise, addressing the pain points of "knowledge scattered on personal computers" and "repeating the same efforts".

By leveraging natural language processing (NLP) and large model technologies, we can conduct real-time extraction, in-depth analysis, and automated reconfiguration of unstructured texts such as global and local laws and regulations, judicial interpretations, and regulatory letters.

Based on the AWS cloud ecosystem, this platform provides intelligent review solutions for various scenarios such as consumer protection, contracts, and credit approval in banks. The platform focuses on risk guarantee, operational efficiency improvement, and decision-making acceleration. It utilizes products like AWS EC2 and SageMaker for elastic computing and large model inference, completes data storage and management through S3 and RDS, and builds a financial-level security protection system by combining VPC and WAF.

The platform supports intelligent extraction of regulatory libraries and the accumulation of forward and reverse knowledge bases, increasing the review efficiency by over 70%, reducing both false positives and false negatives, achieving historical major risk identification at a first-line level in the short term, and evolving towards "fully autonomous review" in the long term. It significantly reduces labor costs for financial institutions and improves the quality of compliance reviews.