BigHand survey finds 31% of measured firms report higher AI profitability

On September 16, Artificial Lawyer reported that a BigHand pricing survey found 31% of firms that examined their data said AI improved profitability per matter, while 30% reported greater matter throughput and 27% reported fewer billable hours for some tasks. The results describe two different economic outcomes: fixed-fee or capacity-constrained work can retain an efficiency dividend, while hourly work may convert the same time saving into lower revenue. Firms need matter-level baselines for labor, technology, supervision and realization before they can decide which outcome applies. The figures are vendor-sponsored survey findings, and the article did not present the complete respondent methodology, so they should be used as directional evidence rather than a market-wide return benchmark.