Legal AI ROI & Operating Models
How Law Firms Are Restructuring Fee Arrangements Around AI
By Anthony Villanueva ·
AI reduces the time required to perform legal work, which creates tension with traditional hourly billing. Law firms are restructuring their fee models to capture the value of AI-driven efficiency without sacrificing profitability.
The relationship between AI efficiency and law firm profitability is more complex than either enthusiasts or skeptics acknowledge. On its face, AI that reduces attorney time on a task appears to threaten hourly fee revenue. In practice, the relationship between AI efficiency and firm profitability depends heavily on the fee structure and the firm's competitive strategy, and firms that manage this relationship well are finding that AI increases rather than decreases profitability.
Efficiency challenges in hourly billing
For firms that bill hourly, AI efficiency creates a challenge only if the efficiency gain is passed entirely to the client in the form of a lower bill. Firms that capture some of the efficiency gain in improved profitability per matter — billing the same amount for faster work — improve their effective hourly rate without increasing client cost.
This approach requires transparency with clients about AI use and a pricing discipline that does not automatically translate time savings into fee reductions.
Strategic move toward alternative fees
The more significant strategic move is toward alternative fee arrangements (AFAs) — fixed fees, success fees, blended rates, and value-based pricing — that decouple revenue from time. AI that reduces time on a fixed-fee matter improves the firm's margin without any change in client billing. Firms that have made the strategic choice to move toward AFAs are therefore more naturally aligned with AI efficiency than firms that remain primarily hourly billers.
Thomson Reuters' research on alternative fee arrangements shows that the adoption of AFAs has accelerated since 2023, and the leading firms in AFA adoption are also among the leaders in AI adoption.
Client perspective on AI capability
The client perspective is also relevant. Large corporate clients — who are often the most profitable and most sophisticated law firm clients — increasingly require their outside firms to demonstrate AI capability as a condition of relationship. These clients are not asking firms to reduce fees; they are asking firms to demonstrate that they are using technology to deliver higher-quality, more consistent work.
Firms that frame their AI investment as a quality improvement rather than a cost reduction — and price accordingly — are better positioned to maintain profitability while meeting client expectations.
Frequently asked questions
How can hourly-billing firms capture efficiency gains from AI without reducing their total billable amount?
For firms that bill hourly, AI efficiency creates a challenge only if the efficiency gain is passed entirely to the client in the form of a lower bill. Firms that capture some of the efficiency gain in improved profitability per matter — billing the same amount for faster work — improve their effective hourly rate without increasing client cost.
This approach requires transparency with clients about AI use and a pricing discipline that does not automatically translate time savings into fee reductions.
Why are firms moving toward alternative fee arrangements (AFAs) more naturally aligned with AI efficiency?
The more significant strategic move is toward alternative fee arrangements (AFAs) — fixed fees, success fees, blended rates, and value-based pricing — that decouple revenue from time. AI that reduces time on a fixed-fee matter improves the firm's margin without any change in client billing. Firms that have made the strategic choice to move toward AFAs are therefore more naturally aligned with AI efficiency than firms that remain primarily hourly billers.
Thomson Reuters' research on alternative fee arrangements shows that the adoption of AFAs has accelerated since 2023, and the leading firms in AFA adoption are also among the leaders in AI adoption.
How are sophisticated corporate clients changing their requirements for outside firms regarding AI?
The client perspective is also relevant. Large corporate clients — who are often the most profitable and most sophisticated law firm clients — increasingly require their outside firms to demonstrate AI capability as a condition of relationship. These clients are not asking firms to reduce fees; they are asking firms to demonstrate that they are using technology to deliver higher-quality, more consistent work.
Firms that frame their AI investment as a quality improvement rather than a cost reduction — and price accordingly — are better positioned to maintain profitability while meeting client expectations.