The Challenge
Contractify, a leading contract management platform, faced significant challenges with their existing LangChain-based AI system. Their single-agent architecture was proving difficult to maintain due to multiple abstraction layers and frequent breaking changes from updates.
This technical debt required substantial resources just to keep the system operational, limiting their ability to innovate and expand features. They needed a more stable, maintainable solution that would allow them to focus on business capabilities rather than system maintenance.
Our Solution
3x
Reduction in contract processing time
24
Man-days for complete system rebuild
Any
Language contract analysis with enhanced accuracy
Significant
Decrease in system maintenance overhead
We partnered with Contractify to completely rebuild their AI system using the Atomic-Agents framework, transforming their monolithic architecture into a sophisticated multi-agent system. The solution was implemented in just 24 man-days, delivering immediate improvements in scalability and maintainability.
Project Insights
Key Features
Deploys multiple specialized agents working in parallel
Processes contracts in any language with enhanced accuracy
Extracts and analyzes critical contract data
Provides interactive document chat capabilities
Automates contract follow-up tasks and assignments
Technical Architecture
Modular, independent agents for specific tasks
Streamlined data processing pipeline
Efficient vector database integration
Scalable multi-agent collaboration system
Implementation Process
The implementation involved:
Analysis of the existing single-agent architecture
Designing a modular multi-agent framework with clear responsibilities
Implementing specialized agents for different contract analysis tasks
Developing a robust coordination system for agent communication
