About
We helped a global insurance company modernize document analysis by building a multi-agent AI system that extracts, classifies, and summarizes complex contracts. Using LLM-orchestrated workflows, FastAPI services, Azure infrastructure, and LangGraph-style pipelines, we enabled faster reviews, automated insights, and secure enterprise-grade adoption.
Challenge, approach, and impact
Challenge
The client’s legal and compliance teams were overwhelmed by a growing volume of policies, contracts, and regulatory documents. Their manual review process was slow, inconsistent, and a bottleneck for decision-making. Although they had an existing platform, it lacked the intelligence and usability required to scale.
The Clients’ Input
• Fragmented access to institutional knowledge made it difficult for teams to find and reuse critical information. • Contract review and redlining processes were slow and labor-intensive. • Heavy reliance on manual edits and external legal support increased costs and risks. • There was a clear need for an intelligent assistant to streamline search, summarization, and decision-making.
How we built
Testimonials
Thomas
Insurance Company
“This tool has completely transformed how we manage contracts. Tasks that used to take days now take hours, with AI guiding us through reviews, suggesting edits, and surfacing key information instantly. The OTAKOYI team was incredibly attentive to our needs and helped us shape the most effective solution. Their understanding of both our workflows and technology made a real difference.“
Team structure
Client team
Thomas
Legal Operations Manager
Project stakeholder
The client stakeholders were working closely with the team at OTAKOYI
Agency team
2 x Frontend Developer
Production
1 x Backend Developer
Production
1 x AI Developer
Production
1 x Team Lead
Governance
