AI will not replace lawyers' core value but will free them from routine work, enabling greater focus on client relationships, business development, expert judgment, and strategic advice — and that means midsize law firms should redefine performance measures and demonstrate enhanced client outcomes rather than simply lower cost.
Key takeaways
- Recognize the value that AI automation of routine work brings — The work AI handles best is not the work that makes lawyers valuable, it is the work that prevents lawyers from doing what they are best at. AI creates space, and firm leaders need to decide what fills it.
- Conversations around AI usage need to happen first — The biggest internal barrier to capturing value is not partner resistance to AI, it is the performance conversation with partners that needs to happen before the pricing conversation with clients.
- Manage client expectations around firms’ AI use — Most clients are not expecting AI to immediately translate into lower bills. They are expecting to get more out of their outside firms, including faster turnaround, earlier risk identification, and advice that better connects to business decisions.
What the research actually says about what changes after a law firm’s AI adoption may not be what most firm leaders expect to hear. The work that AI handles most effectively is not the work that makes lawyers valuable; rather, it’s the work that has been getting in the way of lawyers doing the work that makes them valuable.
Indeed, the conversation law firm leaders should be having in is not, What will my lawyers do with freed-up time? Rather, it’s What have we been preventing our lawyers from doing, and are we now ready to let them do it?
What research says that lawyers actually do differently
The Thomson Reuters Institute (TRI) asked 116 managing partners and law firm leaders, what will differentiate lawyers competitively by the year 2030. Their answers are consistent, specific, and striking in one particular way.
Every single capability they identify is either a relationship or judgment skill. Not one of them is a task that today’s advanced technology will absorb.
The lawyers who stand out in the years ahead will build deeper client relationships earlier in their careers rather than waiting until they reach partnership to become trusted advisors. They will acquire keener business development skills as associates, learning to win work, not just execute it. They will bring narrower but deeper expertise to their specialisms, with stronger skills in communicating that expertise in the actual language of the customer's business. And they will be financially literate and technologically adaptable as baseline expectations, not as differentiators.
Indeed, these capabilities are what firm leaders say they are not getting enough of right now because too much lawyer time is absorbed by work that is repeatable and automatable. Lawyers who spend four hours on a document review that AI could handle in minutes are not doing low-quality work, rather they are doing work that prevents them from doing the work they are best at.
The lawyers who stand out in the years ahead will build deeper client relationships earlier in their careers rather than waiting until they reach partnership to become trusted advisors.
Those midsize firms making the clearest progress have not waited for the full picture to be clear. They chose one practice area, started with AI on the most routine work within it, and made explicit decisions about what the redeploy time would look like, such as structured business development initiatives, deliberate client relationship programs, and more senior-level involvement in the parts of matters that require judgment. In each case the answer became visible only after the firm had begun the implementation process.
Recommended action: Take the four capabilities from TRI's research — client relationships, business development, deeper expertise, financial literacy — and ask which one of those your lawyers currently have the most time to develop. That is where AI’s freed-up capacity should go first.
Change the performance conversation before you change the pricing conversation
There is a harder version of the capacity question that most firm leaders avoid asking out loud. It’s about what partners will do — and specifically, whether partners whose professional identity is built around billing hours will be willing to reorient themselves toward a model in which the value they create is measured differently.
The hourly billing model is not just a pricing mechanism, it is the structural backbone of how law firms assess performance, determine compensation, and make partnership decisions. It is still in heavy use today, which creates a powerful internal resistance to any change that reduces billable hours.
The Thomson Reuters 2026 Future of Professionals Report showed that those professionals most optimistic about what AI can deliver are also the most impatient about the pace at which their firms are moving. Optimism and frustration exist within the same individual, and those people tend to be the firm's most capable and commercially aware fee earners. The resistance to AI adoption is not primarily coming from the lawyers who are most engaged and ambitious. Instead, it’s coming from those who are most uncertain about what change means for them personally.

The firms that best navigated this dilemma have led with the performance conversation rather than the pricing one. That means, rather than saying, AI means you will bill fewer hours, they’ve led with Here is the work we want you to be doing more of, and here is how that contribution will be valued.
The commercial logic here is not that AI enables cheaper legal services. It is that AI enables better-allocated legal services — fewer hours on lower-value work, more hours on the analysis, argument, and client strategy that justify a higher rate. A firm charging a standard hourly rate for 10 hours of document-heavy work that AI now handles in three hours has a choice: Pass the saving back to the client as seven fewer hours or redeploy those seven hours on offering the client strategic advice that commands a higher rate. The second option is better for the firm and better for the client, but only if the firm has made the internal case for what those seven hours are now for.
This is a change management question as much as an AI question. The firms that have moved fastest made this conversation explicit before adoption, not after.
Recommended action: Before your next partner communication on AI, take two key actions: First, map which partners are likely to be optimistic-and-impatient rather than uncertain-and-resistant, because the message that energizes the first group will not reassure the second; and second, for the uncertain group, be specific about how the value derived from AI will be recognized and rewarded, because a performance conversation without that specificity will not land.
The conversation your clients are actually trying to have
The client conversation about AI is one that many firm leaders are dreading, as they’re expecting to be challenged on whether AI means lower bills. (And we discussed how to best handle the pricing conversation when it comes up — and it will eventually — in our previous installment in this series.)
However, our research suggests that the conversation clients are actually more eager to have is one about their firms’ efficiency and performance. In fact, more than three-quarters (78%) of survey respondents from corporate legal departments said that receiving AI-enabled improvements from their outside law firms is very important or essential. Yet, only 6% said that most or all of their current legal providers are delivering it.
So, when the AI conversation happens, clients are not primarily asking whether AI will lower their bills; rather, they’re asking whether their legal advisors are using AI to give them more of what they actually need, such as faster turnaround, more proactive risk identification, advice that connects to business decisions rather than just answering the legal question.
The breakdown of what clients actually expect makes this even clearer. Of the nearly three-quarters of corporate legal clients that said they expect their outside firms to change how they price their services as AI use increases, only 23% said they expect lower fees reflecting efficiency gains. However, almost half said they expect either new pricing models offering greater cost certainty and transparency (33%), or similar or higher fees with measurably better outcomes (15%).
That means most clients are not expecting to pay less; instead, they are expecting to get more, or to know more clearly what they are paying for.
Clients are not primarily asking whether AI will lower their bills; rather, they’re asking whether their legal advisors are using AI to give them more of what they actually need.
Indeed, this brings up a further dimension worth discussing. Corporate legal departments are navigating the same capacity questions, and in most cases, they have a range of outside firms to which they could turn. Yet those firms that will build more durable relationships are those that engage their clients as fellow travelers in the AI transition journey, rather than treating the conversation as a risk to be managed.
Treating clients as fellow travelers underscores that this is not about AI adoption. It is about what the client is getting, what they could not reliably get before, at the pace they needed. That is not a claim about previous underperformance. It is a description of what a law firm can now offer that it could not offer before.
Today, any conversation around pricing now requires more preparation on the part of the law firm, whether discussing it internally with partners or externally with clients. Specifically, firms first must offer a clear internal view of what value AI has enhanced within their operations before the external conversations with clients begin.
Indeed, the leverage in this conversation belongs to the firm that initiates it. Firms that wait to be asked will find that clients have already formed their own view of what value and outcomes should be, and the terms of the conversation will be set by the client, not the firm. However, those clients are not going to tell firms what better outcomes should look like or how to justify higher rates. That work has to happen inside the firm first.
The firms that come to the client conversation with a specific, evidenced proposition — detailing what has changed, what it means for the client’s matters, and what the firm is charging for it — will be in a more advantageous position from those that make a general assertion and wait for the client to engage.
Recommended action: Before initiating any client conversation around AI use and its relation to pricing, make sure you can answer four key questions:
- What specifically has changed — such as turnaround, quality, or coverage — in this client's matters since the firm’s AI adoption?
- What would this client value most from those changes? For example, would they favor speed, risk reduction, cost certainty, or something else?
- What is our fee proposition for this work type, and can we articulate specifically what the client is getting that justifies it?
- How are we going to make this proposition visible to the client, with specific evidence, not a general assertion?
If you cannot answer all four satisfactorily, then that is the work you need to do before you walk into the client’s office.
The firms not waiting to be asked
That conversation, if done well, does not create pressure on margins. Instead, it fosters a relationship that is harder to commoditize, harder to replace, and one that offers more value to both sides.
We began this series by asking, What does your midsize firm do with the time AI frees up? And to be clear, determining where redeploy time goes is critical to how a firm's professional model evolves. Now, we end this series by illustrating how critical it is to demonstrate that answer to clients by showing them that AI has enabled the firm to offer more of what the client value most — not a cheaper version of what came before, but rather more of the judgment, relationship-building, and expertise that no technology can replace.
You can learn more about the challenges faced by midsize law firms, along with the rest of the “AI execution for midsize law firms” series, here
Methodology
This article draws on TRI’s Managing Partner Research 2026 and AI in Professional Services 2026, and Thomson Reuters’ Future of Professionals 2026.
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