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Frameworks

AI is repricing your firm. The question is which model survives.

Billable hours, retainers, project fees, outcome pricing. AI is changing all four. The move that protects margin is the same in each.

You can’t out-tool a pricing model that’s working against you. If the price the client pays is tied to time your team spends, and AI cuts that time, the math runs against you no matter how good the technology gets.

The pricing model is where the AI conversation actually lives. Not at the tool layer. Not at the implementation layer. At the line on the invoice.

The firms that win this don’t buy more AI. They change what their clients pay them for.

Each model is taking different damage from AI. The fix in every case is the same: tie the price to what the client actually buys, not your time and not your tools.

The four pricing models, and what AI does to each.

Which of the four carries most of your revenue today?

The four pricing models on a spectrum from AI works against you to AI works for you. Each model is a link to its detailed section.

Time-priced

Access-priced

Scope-priced

Result-priced

The billable hour

The retainer

The project fee

The outcome

AI works against you

AI works for you

Model

The billable hour

What AI does

Compresses hours and revenue. Clients now expect 20% less.

What’s working

Sell deliverables, not time.

Model

The retainer

What AI does

Fewer touchpoints. Clients question what the retainer is buying.

What’s working

Sell named outputs, not access.

Model

The project fee

What AI does

Clients expect fees to drop to reflect AI savings.

What’s working

Charge a premium for AI-enabled deliverables that weren’t possible before.

Model

The outcome

What AI does

Faster results, better margin. Your incentive aligns with the client’s.

What’s working

Name the result. Price it. Deliver it.

Time-priced

The billable hour

Sell deliverables, not time.

You charge per hour worked. The hour is the unit, time is the meter.

What AI does

AI compresses the hours, which compresses the revenue. The faster your team gets, the less you bill. That’s not theoretical. Clients are already telling firms they want the AI savings. PwC’s Chief AI Officer Dan Priest put it this way: “Clients would hear us talking about using AI and say, ‘We want our fair share of those efficiencies.’” If your revenue is tied to hours, that share comes out of your margin.

What’s working

Shift to deliverable-scoped fixed fees. 59% of law firms now use flat fees alongside or instead of hourly billing, and flat-fee billables grew 34% between 2016 and 2025 (Clio Legal Trends 2025). The firms growing through this aren’t faster hourly billers. They’re firms selling defined outcomes at fixed prices.

Access-priced

The retainer

Sell named outputs, not access.

You charge a fixed monthly fee for ongoing access: counsel, advisory, on-call expertise.

What AI does

Retainers priced on access feel softer to clients every quarter that AI absorbs more of the hands-on work. Clients see fewer touchpoints, fewer billable activities, and start asking what the retainer is buying. Retainers that survive don’t price hours of availability. They price named outputs the client recognizes as work AI didn’t do.

What’s working

Convert retainers from time-based to advisory-based with named outputs. A quarterly strategy review. A decision-tree update. A board-ready memo. The pricing question becomes “what did you decide differently because of this work?” The answer is in the client’s language, not yours.

Scope-priced

The project fee

Charge a premium for AI-enabled deliverables that weren’t possible before.

You charge a fixed price for a defined scope of work, regardless of how many hours go into it.

What AI does

Project fees were already scope-based, not time-based, so they look safe. They’re not. Clients see AI as the engine of efficiency and expect the fee to come down to reflect it. The trap is negotiating yourself into 30% lower fees and absorbing the entire AI productivity gain as client savings. That’s the same compression as hourly billing, one step removed.

What’s working

Hold the project fee where the deliverable is genuinely faster, and charge a premium for AI-enabled deliverables that weren’t possible before. A 48-hour contract analysis isn’t a discounted version of the old contract review. It’s a different offering, priced on speed and certainty rather than the cost to produce.

Result-priced

The outcome

Name the result. Price it. Deliver it.

You charge for the result, not the work. Price reflects what the outcome is worth to the client, not what it cost you to deliver.

What AI does

Outcome pricing aligns your incentive with the client’s. AI makes you faster, the result lands sooner, your margin improves instead of compressing. McKinsey moved roughly a quarter of its fees to outcome-based within 18 months. CB Insights briefed more than 25 AI agent vendors and found that while 54% still use subscription licensing, nearly a quarter already offer outcome- or performance-based pricing.

What’s working

Name a result you can stand behind. Price it. Deliver it. The discipline is in the naming, not the math. “We’ll cut your monthly close from a week to 24 hours” is priceable. “We’ll do accounting work” isn’t.

What ties them together.

Every model that survives ties the price to what the client actually buys. Not your time. Not your tools. The result they came to you for.

TSIA’s Professional Services 2.0 framework, published in March 2026, says it directly: firms must shift from selling “hours, headcount, activities” to selling “time-to-value, business outcomes, measurable impact.” Their research director, Bo DiMuccio, put it this way: if your revenue still depends on hours or headcount, AI will continue to erode your margins.

The work is to name the result, price it, and stand behind it. That’s what protects margin in every one of the four models.

Naming and pricing 2–3 of those offerings is what the Workshop produces: specified, priced, ready to test with real clients next quarter. For how it lands in your sector, see the industries page.

Questions

Pick one offering, not all of them. Convert your most defined work (contract review, monthly close, audit, fixed-scope analysis) to a deliverable fee first. Once that lands, the next conversion is easier. Trying to switch the whole book at once produces partner disagreement and stalled implementation.

The fee can stay the same. What’s priced has to change. Replace “hours of availability” with named outputs the client recognizes as work AI didn’t do: a quarterly strategy review, a decision-tree update, a board-ready memo. If your retainer line item describes hours, AI is going to commoditize it.

Negotiating yourself into 30% lower fees because the work is faster. Clients see AI making the work cheaper and expect the savings to flow back. The trap is conceding the discount without changing what you’re selling. If you can deliver an offering that wasn’t possible before, charge a premium for the new one. Don’t discount the old one.

Document the result well enough that the next client buys it without negotiation. Outcome pricing works once. It scales when you can show the result you produced for the last client and price the next engagement off that. Keep what you can name. Drop what you can’t.

$15,000

Fixed fee. A full day with your senior team. 2–3 offerings ready to test with real buyers.

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