Sullivan & Cromwell Deploys OpenAI Models for Contract Review Automation

Sullivan & Cromwell, one of the world's most prominent law firms, has partnered with OpenAI to create Agreement Analyzer — a specialized application that flags risks, inconsistencies, and missing clauses in draft contracts. The system runs on large language models fine-tuned for legal language, turning what was once a manual, billable-hours process into an automated pipeline.

Why it matters for GPU and AI infrastructure

Legal tech is emerging as a steady, high-value workload for accelerated compute. Each contract review triggers inference across billions of parameters, and firms running thousands of reviews per month need low-latency, high-throughput GPU clusters. For cloud providers like AiGpu, this vertical represents predictable, recurring demand that scales with enterprise adoption.

The collaboration also signals a broader trend: professional services firms are moving from experimentation to production-grade AI deployments. That shift requires reliable access to H100-class hardware, optimized inference stacks, and data-residency guarantees — exactly the capabilities AiGpu delivers from its Dubai data centers.

As more regulated industries follow suit, the infrastructure layer must support not just raw compute but also compliance, audit trails, and model governance. Agreement Analyzer is an early example of what enterprise-ready AI looks like when it leaves the lab.