Falling Token Prices Are Not Reducing Legal AI Bills — Agentic Usage Patterns Absorb the Savings

An analysis published by AgentsROI.ai citing Ramp enterprise spending data shows per-token prices across major AI providers fell roughly 75% year-over-year (from approximately $10 to $2.50 per million tokens), yet legal technology spending grew nearly 40% above pre-GenAI baseline levels. The mechanism is straightforward: agentic workflows consume dramatically more tokens per task than prompt-based assistants, and firms that deployed multi-step agentic pipelines at scale saw token consumption compound faster than per-token prices declined. For legal tech operators building consumption-based pricing models, the data establishes that buyers cannot rely on declining infrastructure costs to moderate their bills — usage governance, model routing, and spending caps are now product features, not afterthoughts, and vendors that provide them will have a structural retention advantage over those that do not.