Over the past few weeks, the world's largest law firms have signaled a shift well beyond AI experimentation. They are building proprietary platforms and allocating significant resources to do so. But as managing partners and CIOs focus on what this means for associates, clients, and the competitive field, many are overlooking a critical piece: at a time when AI announcements generate equal parts excitement and apprehension, firms must be as intentional about communicating these decisions as they are about implementing the technology itself.
"We're investing in AI" increasingly translates to "We're reducing headcount," and firm leaders must be prepared to answer questions about job security directly. Beyond that immediate concern, several deeper issues demand attention.
The future of the billable hour model
AI is already applying pressure to the billable hour, and firms know it. Those making major AI investments have said they expect to shift toward value-based pricing, billing based on outcome rather than time spent. They have not, however, offered much specificity-particularly on the question clients likely care about most: whether efficiency gains will reduce costs for clients or simply pad firm profit margins.
Firms need to get ahead of a potential misconception from clients that value-based pricing is a way to increase profits while doing less legal work. Do proprietary AI systems let attorneys process more information, strengthening work product and getting clients results faster? Do they free attorneys to spend more time on higher-value work that leads to more wins? Are there situations where clients might pay less for superior work? Firms need to communicate these harder-to-quantify benefits proactively, before clients fill the gaps with a negative narrative.
Format matters here. A firm-wide statement may be appropriate for the overall strategic vision, but attorneys should also find opportunities to speak one-on-one with clients about how AI is improving outcomes in terms of time and efficiency gains. Firms do not need their entire pricing model mapped out before they start communicating, but they will need a consistent way of talking about which types of work AI handles and what is changing about billing for that work.
Reputational risk
AI errors in court filings are not a fringe problem. They have surfaced in well over a thousand legal filings to date, and the mistakes increasingly come from lawyers themselves-in many cases at firms that had safeguards and policies in place. The lesson is not that firms should avoid AI. It is that policies alone are insufficient; firms also need a communications plan for when those policies are violated or mistakes happen.
Clients paying significant rates for outside counsel reasonably expect answers to basic questions: What are the guardrails? Who is responsible for quality control? What happens when something goes wrong? Firms that have thought through those answers in advance stand in a much better position than those working it out after an embarrassing public incident.
Privilege and confidentiality
Building a proprietary AI platform should, in theory, address one of the most significant risks firms face with this technology: confidentiality and data security. But telling clients a system is "proprietary" is not a communications strategy. The term can mean a model the firm built and owns, or a vendor-built tool customized with the firm's data. Different systems carry different levels of risk depending on where data is stored and how many people can access it.
Clients will want specifics about how data on their matters is handled, who can access it, and what happens if something goes wrong. Firms that answer those questions proactively-before clients have to ask-will gain a significant trust advantage. Those that rely on "proprietary" as if it is self-explanatory leave room for doubt.
Building an AI communications strategy
Firms will eventually have to answer all these questions. They should designate one or two spokespeople to speak internally and publicly about AI. These should be senior partners fluent in both the technology and the business case for it, and who can speak to practice implications with enough specificity to be credible to clients, media, and internal audiences.
Internal communication is particularly important. The people inside the firm need to understand how the technology will affect their work, which requires a thoughtful communications strategy-sequencing internal communications before external ones, giving practice group leaders the information and messaging they need to field questions, and creating real opportunities for attorneys and staff to ask questions and have direct conversations. It also means having a protocol for when things go wrong, not just for fixing the damage but for communicating about it. For PR professionals building these strategies, AI for PR & Communications resources can help shape messaging that addresses both internal and external audiences with clarity and consistency.
The firms making the largest AI investments are thinking long-term. Those best positioned to realize the value of those investments-with clients, with talent, and in terms of market reputation-will treat their communications strategy as an integral part of this shift, not an afterthought.
Why this matters for PR and communications professionals
The law firm AI race creates a clear demand for communications professionals who can bridge the gap between technical implementation and stakeholder trust. Firms that articulate a specific point of view on pricing, guardrails, and data security will shape the narrative. Those that wait for clients or the press to force answers will lose control of it. For PR specialists tasked with leading these conversations, an AI Learning Path for Public Relations Specialists offers structured guidance on translating complex AI decisions into clear, credible communication. The opportunity here is not just in crisis prevention-it is in positioning your firm or client as the one that addressed hard questions before anyone had to ask.
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