Large language models are shifting from single-turn code generation toward broader professional collaboration (Professional Cowork). Real-world knowledge work introduces distinct requirements: models must digest fragmented source files under concrete objectives and tight delivery constraints, structure specialized knowledge into cohesive analysis, and maintain domain rigor across the full execution lifecycle. Legal work concentrates on these challenges, providing an ideal stress test for training models to operate in high-stakes professional environments.

Legal practice demands an unbroken chain between facts, statutory doctrine, analytical reasoning, and client-ready work product. When given a professional task, an agent must extract core issues from source documents, build defensible arguments, and format its findings to exact task specifications. Simultaneously satisfying all of these constraints is the true benchmark for domain-specific models.