Project Results
Technical Highlights
Data Sovereignty
Full private deployment ensures sensitive legal data never leaves the internal network
One-time Buyout
Significant TCO reduction by moving away from the "per-user-per-year" SaaS trap
Ecosystem Integration
Seamless workflow integration with Feishu, DingTalk, and legacy ERP systems
AI Risk Control
Intelligent clause comparison and risk identification based on custom enterprise rules
Client Background
This large group enterprise manages thousands of complex contracts monthly across procurement, sales, and infrastructure. The previous reliance on generic SaaS platforms led to data sovereignty concerns and high recurring subscription costs. They required a professional, privately deployed CLM that could integrate deeply with internal systems while providing intelligent risk oversight.
Technology Stack
From Challenges to Solutions
System Architecture Design
End-to-end loop covering drafting, approval, e-signing, fulfillment, and archiving
Built-in AI review engine and evidence chain for automatic risk identification and compliance alerts
Private deployment ensures data sovereignty, multi-tenant architecture fits groups, permission system ensures compliance
Phased Implementation
Private Deployment & Integration
Established local server environment, completed native integration with Feishu and internal ERP systems
Risk Engine Customization
Built enterprise-specific risk rules and template libraries, trained AI on historical contract data
Group-wide Rollout
Deployed across all subsidiaries with multi-tenant isolation, ensuring data sovereignty and 70% cost reduction
Private Deployment & Integration
Established local server environment, completed native integration with Feishu and internal ERP systems
Risk Engine Customization
Built enterprise-specific risk rules and template libraries, trained AI on historical contract data
Group-wide Rollout
Deployed across all subsidiaries with multi-tenant isolation, ensuring data sovereignty and 70% cost reduction
Client Testimonial
“Moving from SaaS to a privately deployed CLM was a strategic win. We not only secured our data but also saved millions in recurring fees. The AI review engine has become an indispensable assistant for our legal team.”