What legal services price on
Hours, headcount, word count, deliverables, process, and measurable inputs. AI is already changing the reference point for those inputs, especially time.
Too many decisions begin with the wrong framing of the question, and are judged on what can easily be measured, not what matters.
The GC asking “How do we ensure we see value from our legal spend?” becomes “How do we reduce billing rates?” because rates are visible, comparable, and easy to optimize.
The Practice Group Leader asking “How do we adopt AI without losing what the team brings?” becomes “List the AI we use and the hours it saved,” because the hours are countable and the judgment is not.
The first-order metric improves. The value often does not.
The work that matters happens before anyone starts on the answer: in how the problem gets framed, what gets measured and ignored, and the consequences the answer creates.
The gap between what legal services cost and what they are worth is where value is created or destroyed.
Hours, headcount, word count, deliverables, process, and measurable inputs. AI is already changing the reference point for those inputs, especially time.
Confidence, clarity, trust, reduced fear of being wrong, and the sense that someone has understood the real problem underneath the request.
Second Order works in the gap. Not optimizing the physics. Changing what the work means.
Work within the law exists somewhere along a continuum defined by Art at one end and Science at the other. AI is advancing from the Science end: compressing execution, automating the routine, dramatically reducing human effort in workflow, eDiscovery, document processing, and regulatory filing.
What it has not yet meaningfully reached is judgment: the creative, contextually complex work that has always commanded the highest rates and resisted the most sophisticated tools. That boundary, and where value sits relative to it, is where the most important commercial questions in the legal market now sit.
Three examples of how second-order thinking changes what gets built, and what it is worth.
The legal market is restructuring. Firms, departments, law companies, and investors are all navigating the same shift, but from different positions. The questions differ. The stakes are the same.
Managing Partners · Practice Group Leaders · COOs · CMBDOs
As AI compresses the routine and redefines what is science versus art, value is migrating from execution to judgment. Most firms are still priced and organized for where value used to sit. The work is positioning, pitch selection, and commercial design for where value is moving.
General Counsel · Chief Operating Officers, Legal
Efficiency gains do not remove pressure, they relocate it. From volume handling to trust, judgment, and internal alignment. The operating model, budget narrative, and risk appetite need to catch up.
CEOs · Founders
Technology amplifies demand, but only if it is anchored in an existing, urgent problem. Most positioning is not. I help reframe solutions upstream, around what legal buyers actually feel.
Legal technology and services focused funds
In a crowded market, narrative coherence is a leading indicator of product-market fit. Pre-investment diligence and portfolio acceleration: cutting through story to what is actually there.
Three engagement modes, each designed to meet the problem where it actually sits, not where it has been presented.
“We know something is wrong, but cannot see it clearly.” A short, fixed-fee engagement to pressure-test assumptions, define the real problem, identify where value is being created or lost, and reframe the options before any scope is written.
“We can see it, but do not know what to do.” A defined engagement with a specific outcome: reframing the options, designing the commercial or operating response, and pressure-testing the plan before the internal narrative hardens.
“We need judgment in the room as this plays out.” Embedded at key decision points, challenging, refining, and adapting as conditions change, so the decision can hold over time.
Second Order is not a capacity solution. It is for moments when the cost of asking the wrong question is higher than the cost of slowing down to frame it properly.
Concrete entry points for law firms and legal departments navigating AI, legal spend, pricing pressure, and the movement of value from execution to judgment.
Pitch selection and preparation: choosing which opportunities deserve attention, pressure-testing the buyer's real problem, and sharpening the story before the room.
A diagnostic for practices whose work is valuable but hard to explain, price, or defend as AI changes client expectations.
A commercial model reset for departments caught between cost pressure and the reality that blunt savings often create second-order risk.
Budget preparation that connects spend, risk, judgment, and business tolerance, before the discussion collapses into headcount and rates.
Not observational knowledge. The kind formed from operating across firms, in-house, and law companies at a senior level, with real P&Ls, real trade-offs, and real skin in the game.
I do not simply optimize work. I challenge whether it should exist in that form. I think in commercial models: positioning, pricing, packaging, delivery. And I stay out of implementation, so the advice is not conflicted by follow-on work.
The knowledge that can be extracted has already been priced. The knowledge that cannot is where the margin lives.
A four-part series on what the AI wave in legal looks like when you go one level below the obvious. Publishing June 2026.
What the series examines and why. The Art end of the legal spectrum — the creative, judgment-intensive work that has always commanded the highest rates and on which the most ambitious AI productivity claims are now being made.
Read the pieceEvery productivity claim in legal AI rests on a number nobody has publicly measured. The saving may be real. The baseline it's measured against looks a lot like 1990.
Read the articleWhy experienced lawyers reviewing AI-generated work miss errors that are there to be found. Not a policy failure. A cognitive architecture failure.
Read the articleThe data layer that everyone is now racing to build is the same layer the industry defunded twenty years ago. Better retrieval over incomplete data is not the same as complete data.
Read the articleWhen information becomes cheap, value migrates. The question is where it goes, who captures it, and whether the next generation of lawyers is being trained to hold it.
Read the articleOf the problem as it has been framed. Of the assumptions underneath it. And whether the question being asked is the right one. That is often where the most valuable work happens.
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