Why the Data Platform - Not the Model - Determines Legal AI Outcomes
Snowflake, Monday, June 29th, 2026
Snowflake argues that a data-platform-centric approach, not the model, drives successful legal AI deployments.
Author Sahil Kotwal argues that successful legal AI deployment depends less on sophisticated language models and more on robust data architecture.
Rather than treating data platforms as peripheral tools for AI to access, organizations should make the data platform the foundation. This enables three critical capabilities: governed data access through role-based policies, context-aware reasoning that considers deal parameters and negotiation history, and continuous feedback loops that improve recommendations over time.
Keeping governance, concession tracking, and institutional intelligence within the data platform lets legal teams deploy AI that stays auditable and contextually appropriate.