Hogan Lovells Cadwalader’s new AI plan is really a pricing plan. The lesson for every firm is not which tools it chose, but that it is building the capability to change how it prices before clients force the issue.
Most law firm AI announcements are about tools. This week’s was about money.
As reported in Law.com, Hogan Lovells Cadwalader, three months after its merger, unveiled a hybrid “buy and build” AI strategy: commercial platforms such as Harvey, Legora and Copilot alongside bespoke tools developed through its technology subsidiary, ELTEMATE. That part is becoming routine. What is not routine is where CEO Miguel Zaldivar took the conversation next.
“The reality is that the industry in 2026 is priced by the hour.” He expects that by 2028 or 2029, “many, many products are going to be priced in a fixed fee or by value added.”
— Miguel Zaldivar, CEO, Hogan Lovells Cadwalader, as quoted in Law.com
That is a three-year horizon from a leader running one of the largest firms in the world. And he is not predicting it passively. He is organizing for it.
The case study: transformation with pricing at the center
Three new leadership roles tell the story. A managing partner of legal technology and AI leads an AI board that decides where to build and where to buy. A chief transformation officer focuses on how AI changes service delivery to clients. And a new commercial unit, led by a managing partner of commercial and client delivery, owns the client conversation about AI, efficiency and price, using a new version of the firm’s practice management tool to measure how time splits between people-driven and machine-driven work.
Read that again. The firm is instrumenting the shift from effort to value at the matter level, and it has assigned a senior partner to translate that data into pricing clients will accept. That is not an AI project. It is a pricing system under construction.
The pressure is coming from the buy side. General counsel at major banks are asking outside counsel to show how AI is increasing efficiency and lowering total bills. Zaldivar describes a Madrid client already expecting more AI “ingrained in the delivery” by 2027. Clients may not yet know exactly what they want, but they know they want the efficiency dividend to show up in the invoice. And the economics cut both ways. In his words: “If we do this correctly, the margin should even go up. If we don’t get it right, we lose the client.”
Why you need to act now
Three years sounds like time. It is not, for two reasons.
First, capability takes longer to build than models take to announce. Fixed and value-based pricing only hold up on a foundation of scoping discipline, cost-to-serve data, matter-level margin visibility, partner pricing judgment and governance over discounts and exceptions. Firms that lack these today cannot acquire them in a quarter. The hourly model forgave weak pricing infrastructure because time absorbed every error. Value pricing does not.
Second, AI turns a pricing weakness into a profitability problem. As we argue in The Executive Guide to Pricing Transformation, the more capable a firm becomes, the more it is penalized under a time-based model. Every hour AI removes from a matter is an hour of revenue gone unless the firm has already decided how to price the outcome instead of the effort. A firm that adopts AI aggressively but prices by habit is simply funding its clients’ savings.
There is also a trap on the way. The easy response to client pressure is the “fake AFA”: a capped fee, a blended rate, a volume discount or a flat fee with hours reported behind it. These are gateways, not destinations. They keep time at the center of value and transfer risk to the firm without changing the behavior behind the bill. Clients buying AI-driven efficiency will see through them quickly.
Start by evaluating your pricing system
Every firm has rates. Far fewer have a pricing system: a disciplined, institutional way to know what their work is worth and capture a fair return. Before designing new fee models, leaders should ask where the firm is still pricing by habit rather than by design. We assess eight dimensions.
Eight Dimensions of a Pricing System
- Pricing strategy and value position
- Client value and commercial insight
- Market and economic intelligence
- Pricing capability and enablement
- Operating model and resources
- Governance and workflow
- Performance management and accountability
- Pricing innovation and service design
Notice how closely the Hogan Lovells Cadwalader moves map to these. The commercial unit is an operating model decision. Measuring human versus machine time is market and economic intelligence. The build-or-buy board is innovation and service design. The firm is not improvising; it is filling in a system.
Most firms we assess score strongest on the first dimension and weakest on four through seven. They know roughly where they stand in the market. They have far less ability to turn that position into a price, govern the discounts that erode it, and hold anyone accountable for the result. Those are precisely the muscles a fixed-fee future requires.
Then follow a method, not a mandate
Once you know which dimensions are missing, informal or not holding, build them deliberately. We use a five-phase Pricing Innovation Cycle, because transformation that arrives as a memo tends to stall at the first difficult client conversation.
01 Discover
Surface the reality beneath the rates: where defaults live and value leaks away.
02 Design
Create models that reflect value and pass the margin, clarity and behavior tests.
03 Deploy
Pilot in one practice. Track time even when you are not billing it.
04 Distill
Codify what works into playbooks and tools any partner can use.
05 Drive
Embed in systems, incentives and culture so it outlasts its champions.
The cycle is iterative. Each deployment produces lessons that trigger new discovery, which matters because client expectations around AI will keep moving for years. The goal is not a new rate card. It is a firm that can re-price as delivery changes.
Pricing is leadership
Zaldivar is careful to say the change will not reach every group or every practice. He is right. Hourly billing still fits uncertain, bespoke, reactive work. But he also says a “very material component” of the work driving profitability today will be priced differently. If that is true at a global firm with a merger to integrate, it is true for the midsize firm competing for the same clients with fewer resources to absorb a mistake.
The firms that win the next three years will not be the ones with the best AI tools. They will be the ones that know what their work is worth, can prove it to clients, and have built the system to capture it. That work starts now.
Where Does Your Firm Stand?
LawVision’s Pricing System Diagnostic assesses all eight dimensions, quantifies the opportunity and delivers an 18-month roadmap. For a conversation about your firm’s pricing readiness, contact Mark Medice at mmedice@lawvision.com or 412.721.9475.
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