About
We engineered a specialized AI copilot for a global S&P 400 company's legal team. This solution automates contract analysis, dramatically reducing the time required to process new agreements, re-process updated versions, and compare documents, thereby streamlining the entire contract management lifecycle for the legal department.
Challenge, approach, and impact
Manual Contract Processing Bottlenecks
The legal department struggled to process multiple provider contracts efficiently, taking weeks to make subtle changes or ensure policy compliance. This manual approach created significant delays in business operations and vendor onboarding processes.
Lack of Contract Comparison Capabilities
Legal teams lacked efficient tools to compare contract versions and identify key differences, leading to potential oversight of critical terms and conditions during contract reviews and updates.
Global Scale and Consistency Requirements
With operations across multiple countries and entities, maintaining consistent legal standards and contract processing workflows was challenging, requiring a unified solution that could scale globally while meeting local compliance requirements.
Resource Allocation and Cost Inefficiencies
Legal teams were spending disproportionate time on routine contract analysis tasks, preventing focus on high-value strategic legal work and increasing operational costs across the organization.
How we built
Testimonials
AI Engineer @ Pento.ai
Pento.ai
“Working on the client's legal copilot was one of the most challenging and rewarding projects I've tackled. The complexity of processing legal documents across multiple jurisdictions while maintaining compliance standards required innovative NLP approaches and careful system architecture. What made this project special was seeing how our AI solution transformed weeks of manual legal work into hours of automated analysis. The integration challenges with their existing Azure infrastructure and PingFederate authentication pushed us to deliver enterprise-grade security. Watching their legal team go from overwhelmed to empowered was incredibly fulfilling as a developer.“
Team structure
Client team
Mario S
Data Science Lead
Daily point of contact
Ariel S
Chief Innovation Officer
Project stakeholder
Ignacio B
Tech Lead
Daily point of contact
The client stakeholders were working closely with the team at Pento.ai
Agency team
2 x AI Engineer
Production
1 x Tech Lead / DevOps
Production
1 x Project Manager
Governance
