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SIE SLM
SIE SLM
Empowering corporate legal management, facilitating compliance and controllable risks, through technologies such as AI and big data, enhancing the efficiency of corporate legal management, assisting in corporate compliant operations and risk prevention and control, becoming the core support platform for corporate legal management
Core business scenario
contract management

Taking the full lifecycle management of contracts as the main line, from contract drafting to contract completion, achieve end-to-end process integration of all types of contract business, and form a management closed loop

contract management
contract management
AI Artificial Intelligence

Introduce artificial intelligence and legal models to provide intelligent application scenarios such as intelligent review, Q&A, search, evaluation, presentation, knowledge graph, etc

AI Artificial Intelligence
AI Artificial Intelligence
Case dispute

By standardizing the dispute case management process, we aim to enhance our ability to respond to disputes and improve the quality of dispute resolution. We also aim to connect with external judicial data and support multidimensional and customized statistical analysis, achieving seamless management, comprehensive coverage, and real-time dynamic monitoring

Case dispute
Case dispute
Legal Affairs Management

Based on the routine legal business handling process and knowledge accumulation requirements, the system establishes a comprehensive management platform for business processes, including five modules: external intermediary agency management, non litigation business management, legal education training management, legal personnel management, and shared knowledge base management

Legal Affairs Management
Legal Affairs Management
Risk compliance

Based on the results of risk and compliance consulting, achieve online integration of compliance knowledge system. Through various flexible tools such as compliance checks, risk assessments, compliance training, and institutional knowledge graphs, we help achieve the full process of compliance risk tracking, realize real-time warning and rapid disposal of compliance risks, and reduce the risks and losses caused by non compliant behavior

Risk compliance
Risk compliance
Product blueprint

Based on the actual pain points of enterprise rule of law management, a new rule of law management product integrating control and service has been created for mainstream products in the industry, combined with years of experience in large-scale group enterprise rule of law project construction, and the introduction of multiple new technologies such as "artificial intelligence" and "big data". It is widely applicable to large and medium-sized enterprises in various industries.


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Core functions
Intelligent drafting

With the help of artificial intelligence technology and algorithms, the granularity of standardized text management is refined to the clause level, and a management system centered on the content of contract terms and clauses is constructed, which helps to enhance the automation and intelligence of traditional contract text template drafting scenarios

Intelligent review

Based on the built-in multiple common business review points and common specialized review points, it helps enterprises quickly identify potential risks in text content and guides drafters to make modifications, with a review accuracy rate of over 95%

Intelligent filling

Using AI models to parse template based and non template based documents such as Word, extract document content for use in form import and form verification scenarios, and achieve bidirectional binding between documents and forms

Intelligent guidance

Through semantic understanding and knowledge graph technology, real-time parsing of user needs and linking them with structured knowledge such as regulations, business processes, etc. within the enterprise, using intelligent recommendations, relationship graph analysis, and natural language Q&A to accurately guide problem-solving paths and knowledge acquisition directions

Customer cases
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