How AI Is Changing the Client-Firm Relationship
By Shireen Hilal
June 11, 2026
Shireen Hilal is the founder and CEO of Maior, a consulting firm helping law firm leaders increase revenue and profitability, build new growth strategies, and stand out in a crowded market. Prior to Maior, Hilal practiced as a litigator at AmLaw50 firms and served as the COO of a national law firm. She can be reached at shireen@maiorconsultants.com.
This column answers law firm leaders’ questions by going straight to the source: the in-house counsel who hire, manage, and sometimes challenge them. Each piece starts with what clients are saying and ends with actionable insights on how your firm can win more outside counsel business. Past editions of the column can be found here.
As AI becomes more embedded in law firms, the instinct is to focus on tool selection and governance… but AI is changing how your clients work, too. The firms paying attention are asking: how are our clients using AI in their day-to-day, and how does that change what they need from us? Let’s look at how the technology is reshaping the client-firm relationship.
Inside your clients’ reality
In our current light-touch regulatory environment, companies are moving faster (read: taking on more risk). The good news is, legal departments are being pulled into those decisions earlier: according to the 2026 Association of Corporate Counsel Chief Legal Officers Survey, three-quarters of chief legal officers (CLOs) are being integrated into business planning earlier. The bad news is, over a third cite budget and resource limitations as the primary barrier to their success.
Meaning, in-house legal teams are stretched thin: expected to move faster, take on more responsibility, and support business decisions in real time without additional resources. That is where AI comes in. Approximately half of CLOs say they are expected to use it as one way to move faster and close the resource gap.
The general counsel of a midsized software company captured this shift well: “Our business is very AI forward, including use of agents. I have four legal department personnel and HR reports to me too, and they are in these tools every day. Most of my role is refining their outputs and tying the dots together.” In other words, AI is helping legal teams absorb the volume, but it does not change the hard part of the job: connecting legal, operational, and business priorities in real time. So how does adding AI to the legal department change your clients’ needs?
Here’s what your clients are asking for:
1. Judgment, not first drafts
Clients can get up to speed on the basics by themselves. They are using AI to summarize, research, draft initial analyses, and pressure-test arguments before bringing in outside counsel. That does not eliminate the need for firms, but it does change the role.
The general counsel of a large retail company was direct about what this meant for him: “I don’t want to pay for associates for fancy memos and 50-state surveys, someone should get pretty far with the tools on that.” The opportunity for outside counsel is to bring judgment where the research stops: refining the analysis, spotting what the client missed, and standing behind a final position.
One in-house lawyer in charge of contracting at a Fortune 50 tech company drew her line clearly. Her team was “pretty lean on using outside counsel for commercial work already” and now uses it for pre-litigation issues too. She meets with her litigation team to brainstorm responses and then uses AI to test the other side’s arguments and draft a response. But she still uses outside counsel “for highly specialized things,” including experience dealing with a regulator or niche legal issues that the company doesn’t routinely handle.
That is the shift. Clients may need you less for first drafts and routine issue-spotting, but they need you more when the stakes are high risk or the answer requires judgment, specialization, or nuance.
2. Speed that matches how they operate
When clients can generate answers in minutes, waiting days for outside counsel doesn’t cut it. As one in-house leader put it, “We are often judged on how little we slow the business down.” To be the first call on speed dial, stay ahead: share what you’re seeing in the market, flag developments as they happen, and offer perspective before they ask. What stands out is not just responsiveness, but how quickly you get to a clear recommendation.
3. Advice and value that reflects business reality
Legal departments are weighing risk against business objectives in real time, often with imperfect information. They need advice that reflects their risk tolerance, acknowledges tradeoffs, and helps the business act. As one general counsel put it, “Success for us means more than getting the legal question right. The business needs a good result.”
That same standard now applies to cost. Clients assume firms are using AI, and they expect the benefit to show up somewhere: speed, price, specificity, or better advice. One general counsel said, “Our expectation of AI use can’t be disassociated from the other market dynamics we’re seeing like billing rates. If you’re charging me 30% more than you did five years ago, I expect something for that. I should get what used to take three hours in one.”
And as clients use AI themselves, they are better equipped to scrutinize what they are paying for. As another GC said, “If you bill 5.4 hours and there’s no specificity, this is where AI does a really nice job for me—breaking down the bills and analyzing where I’m overpaying across firms.”
The point is not that every matter should cost less; it is that the value needs to be clear and reasonable.
What this means for your firm
Meeting these expectations requires a shift in how you approach the work.
First, meet clients where they are. They are increasingly coming to you with a point of view or initial analysis they’ve developed internally. Adding value in that context requires understanding how their business operates and what risks they are willing to take. Without that, technically correct advice can miss the mark.
Second, give them a path forward. Your clients need practical advice: how to approach the issue now, what to watch for as things develop, and how the answer may change as the facts evolve. That kind of guidance allows them to act with confidence without locking them into a position that may not hold.
That is especially important in gray areas where the rules are still developing. As one chief compliance officer of a financial services firm said, “Speaking of AI, I’d love an AI handbook. I’m literally going through the [The Investment Advisers Act of 1940] line by line and thinking of how to apply these rules through the lens of AI. There’s no guidance.” Firms that can translate uncertainty into practical guidance are far more useful than firms waiting for perfect answers.
At the same time, there is an opportunity here to win back work that may have seemed permanently gone. High-volume, low-complexity legal work like e-discovery and contract review has largely moved back in-house and to alternative legal service providers (ALSPs) because outside counsel has traditionally been too slow and expensive, but AI can change those economics. Firms that build a faster, lower-cost delivery model, while keeping the work connected to judgment, may be able to compete for that work again. The key is not pretending that the same staffing and pricing model will work for every type of matter.
Finally, show up earlier and more often with perspective. The firms that stand out are not waiting to be asked. They are sharing what they are seeing, flagging risks, and helping clients think through issues before they become urgent.
The bottom line
For firms willing to rethink how the work gets done, there are two upsides: more ways to win work, and better work to do.
On the first point, smaller and more specialized firms can now compete for work that once required large teams, while larger firms can build faster, lower-cost delivery models for work that had moved in-house or to ALSPs. That creates opportunity in both directions for firms to combine efficiency with judgment.
There is also the human upside. A lot of the work AI is taking on is the work most lawyers don’t want to do: sifting through irrelevant facts, summarizing background law, etc. That means more room to learn your clients’ industries and then helping them navigate complex decisions and solve critical business problems.
It’s an exciting time to lead a law firm.
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