As AI reduces the effort required for parts of research, review and drafting, legal organisations may need to reconsider productivity, pricing, quality and the structure of professional work.
INTAI Research · Published 16 June 2026
Read the AnalysisThe more consequential question is what that adoption is doing to how legal work is measured, priced and structured, because the productivity effect is now large enough to show up in firm-level financial outcomes, not just individual time savings.
Firms deploying AI broadly are roughly three times more likely to report revenue growth than non-adopters, a gap wide enough that it is becoming a competitive rather than merely operational consideration. Unsurprisingly, law firm technology budgets had grown almost 40% by the end of 2025 compared with pre-GenAI levels, reflecting a shift from treating AI tooling as discretionary spend to treating it as a core input to firm competitiveness.
The billable hour has always priced legal work by the time it took to produce, which worked reasonably well when time and effort were closely correlated with the amount of value delivered. AI breaks that correlation in specific places, a research task that took four hours now taking forty minutes does not mean the resulting advice is worth a tenth as much to the client, which is precisely the tension now surfacing in how legal work gets priced.
That has direct implications for how legal organisations structure junior roles traditionally built around research and first-draft review, the tasks AI now performs a meaningful share of, and for how firms measure and reward productivity once time spent stops being a reliable proxy for value created. Neither question has a settled answer yet. Both are now unavoidable for any legal organisation with a genuinely embedded AI tool, rather than a tool used occasionally by a handful of enthusiastic associates.
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