Coordinate complex AI workflows at scale
Multi-Agent Orchestration
We architect intelligent networks of specialized AI agents that collaborate, delegate, and self-correct — tackling enterprise-scale problems no single model can solve alone.
Technology Stack
Case Study
Legal Technology
The Challenge
A top-50 law firm needed to review hundreds of complex commercial contracts weekly. Each review required cross-referencing jurisdiction-specific regulations, flagging non-standard clauses, and summarizing risk. Manual review took senior associates 4–6 hours per contract.
Our Solution
We designed a multi-agent system of five specialized agents: a Document Parser, a Clause Classifier, a Regulatory Reference Agent, a Risk Scorer, and a Summary Writer. Agents run in parallel where possible and pass structured context between tasks using a shared state graph (LangGraph). A supervisor agent orchestrates the flow and triggers human-review flags when confidence drops below threshold.
Results
- Contract review time reduced from 4–6 hours to under 3 minutes
- 87% reduction in senior associate time spent on contract review
- 99.2% recall on high-risk clause detection (validated against manual review)
- System processes 200+ contracts per day with zero degradation
Technologies Used
"What used to take our team a full day now runs overnight. The agents catch things we'd have missed under deadline pressure."
— Managing Partner, Legal Tech Client
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