A new survey from BigHand reveals that 31% of law firms tracking their data found AI improved profitability per matter, while 30% reported increased matter throughput. The findings signal a measurable shift in how legal practices are turning efficiency gains into financial returns - and a growing divide between firms that adapt their pricing models and those that don't.
Where the gains are coming from
The profitability boost appears tied to AI reducing time spent on non-billable work. When administrative or preparatory tasks shrink, more of a matter's revenue flows to the bottom line. For firms using fixed-fee arrangements, faster completion creates what the industry calls a "tech dividend" - the same fee, less cost.
Thirty percent of firms saw AI driving increased matter throughput. More projects completed in less time means higher capacity without expanding headcount. Both metrics point to AI doing exactly what firms hoped: compressing the labor-intensive parts of legal work.
The billable hour problem
Not every data point is cause for celebration in partnership meetings. The survey found 27% of firms reported a reduction in billable hours for certain tasks, and 31% saw reduced reliance on manual work. For practices still anchored to the billable hour, those numbers represent shrinking inventory.
Firms that can navigate AI-influenced pricing stand to gain. Those that cannot will watch efficiency erode their traditional revenue model. BigHand noted that some firms may not have responded affirmatively to certain questions simply because they lack the tracking systems to answer them - a data gap that itself carries strategic risk.
The client conversation hurdle
Thirty-five percent of partners remain uncomfortable discussing AI use with clients. The discomfort has a clear source: clients may push for discounts once they know AI handled portions of their matter. That tension grows sharper when AI deployment is now standard across most large firms, making silence harder to justify.
Firms using fixed fees and embracing rapid throughput likely find these conversations easier. Their pricing already reflects output rather than input, so AI's role becomes a selling point instead of a liability.
Why this matters for legal professionals
The data confirms AI is embedded across the market in a meaningful way. For lawyers and practice managers, the core challenge is not whether to adopt the technology - it's whether their firm's business model rewards efficiency or penalizes it. Professionals building skills in AI for Legal applications position themselves for firms that treat speed as an asset. For paralegals and support staff whose daily work increasingly intersects with automation tools, structured AI Learning Path for Paralegals resources offer a way to stay ahead of the shift rather than react to it.
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