"Choose your clients to choose your future." — Seth Godin

I once spent an afternoon in a meeting where a senior partner reviewed a write-off report, nodded along at each line item, approved most of them in about forty-five minutes, and then closed his laptop and said, with genuine finality: "okay, that's behind us."

Indeed, write-offs are not something anyone typically wants to linger on.

The items we had just signed off on represented several hundred dollars in written-off time, spread across a few matters. We were treating the whole conversation as an administrative chore to be cleared before the real work of the week could begin. Nobody was asking what the pattern meant. Maybe we shouldn't have been so quick to move on. The pattern told a story valuable for both management and legal ops.

Write-offs are not always errors. They are often moments where the model broke: what the firm expected to bill, what the client expected to pay, and what the work actually cost failed to align at the same time. Every write-off is a small, specific failure of scoping, pricing, or relationship management, sometimes all three simultaneously.

When you aggregate write-offs across matters and look at them honestly, you stop seeing individual line items and start seeing structure. Consistent write-offs on a specific matter type mean your pricing model for that work is systematically wrong. Concentrated write-offs for a specific partner mean something about how that partner scopes or manages client expectations. Write-offs that cluster around a specific client mean you are in a leverage dynamic you have not formally acknowledged yet, and the client has been quietly negotiating by rejection ever since the first invoice.

This is not analysis that requires an advanced degree of understanding or a significant amount of experience. This is simply pattern recognition, and patterns often give way to relationship dynamics.

Which brings me to the question genuinely worth wrestling with: who should own write-off approval?

Right now, the answer at most firms is essentially whoever has sufficient authority to sign off on the revenue loss. At many large firms, that can mean partners, though it can also mean accounting or finance departments and committees of non-lawyers. The theory: the partner who knows the client best is best positioned to make the call, and that logic has merit. Partners understand client relationship context that a pricing professional sitting behind a spreadsheet may not have. They know whether a write-off is a one-time accommodation or the beginning of a pattern.

The problem is that approval and analysis are not the same function, and we have collapsed them into one moment. The partner approves. The data disappears, until it is summoned again at end of year summaries.

With the current wave of private equity involvement in law firm ownership, questions about write-off governance sit alongside broader questions about who actually bears revenue risk. When external capital is in the structure, the tolerance for undocumented write-offs looks different than it does in a fully partner-owned firm. Write-off governance that made sense when every dollar of risk was borne by equity partners may need rethinking when the equity structure itself is changing.

Should pricing teams have a formal role in write-off approval, not to approve or deny, but to document the pattern analysis before the sign-off happens? I think so, and I say that fully aware of how quickly that proposal reads as overreach to a partner who did not ask for a pricing opinion on a client relationship decision. The framing matters. Not "we think you are wrong to approve this," but "here is what this pattern looks like in context, before you decide."

The AI tools entering the billing space are largely positioned as write-off prevention technology: AI that flags non-compliant billing before it reaches the client, tightens the loop between hours worked and hours paid. My concern is not with preventing write-offs. Preventing unnecessary write-offs is good. The concern is with preventing write-offs without first mining what they are telling you.

The write-off is the evidence. Automating it away before you read it is like cleaning up a crime scene because you prefer tidy rooms, and ignoring the cause of the mess.

Especially as firms consider deploying run-off prevention AI tools, I think running a retrospective on three to five years of data is a vital step. Where do write-offs concentrate? Which practice groups, matter types, partners, clients? What is the time-to-write-off? Which happen before the invoice and which happen after? That analysis is the foundation of a pricing audit built from data you already have. Then, after you have read it, prevent away.

I am genuinely curious how other pricing professionals think about the governance question here, particularly as the ownership structures of the firms they work in continue to evolve.