AI pricing needs budget-visible ROI, not just efficiency narratives

Axiom argues that legal departments need to define AI use cases, establish baselines, run structured pilots and connect outcomes directly to budget impact. The recommended metrics include time saved per task, outside counsel spend reduction, matter volume handled without additional headcount, cost per matter, adoption and workflow integration; Axiom cites 40% to 60% efficiency gains in certain use cases and recommends 8- to 12-week pilots for budget-visible results. This is the client-side version of the AI pricing conversation. Law firms selling AI-enabled value need evidence that productivity gains translate into lower cost per matter, deflected spend, or higher-quality capacity, because finance teams will not fund abstract innovation stories indefinitely.