Law firms that move beyond simply adopting AI tools to build lawyer-centered strategies, adaptable cultures, and clear operational structures are the ones achieving real, measurable transformation
Key highlights:
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The real gap in AI transformation is between tools and strategy — Many law firms mistake owning AI tools for having an AI strategy, measuring success through usage data alone rather that measuring the created value for clients and the firm.
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“Change agility” is operationally required — Because AI reinvents itself every few months, firms must embed continuous learning as a standard operating reflex rather than a one-time training event.
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There are 5 key markers that denote true transformation — Firms pulling ahead share five consistent traits that compound into a durable competitive advantage.
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Organizations with a visible AI strategy are 3.5-times more likely to experience critical AI benefits compared to those without one, and almost twice as likely to be experiencing revenue growth because of their AI investment, according to recent Thomson Reuters research.
For law firms — organizations in which the human dynamics of transformation are particularly complex — new details are emerging that separate those firms that are executing AI transformation well from those firms that are not, say two practitioners that work on law firm AI transformation every day — Tom Snavely, Principal Consultant of AI Strategy and Transformation Services at Thomson Reuters; and Eric Lein, an organizational and process transformation specialist on the same team. Together these two help firms move from adopting AI tools to rethinking how their legal work gets executed and delivered.
Both have said they’ve observed that the firms pulling ahead are those that have put their lawyers at the center of the firm’s transformation strategies.
The gap between activity and accomplishment
Many law firm lawyers who are serious about their AI strategies have attended AI webinars, learned the vocabulary, and can readily name the leading tools in their practice area. Going one layer deeper, however, begs a key question on whether those tools have changed how those lawyers work and deliver value to clients.
Snavely says he sees this disconnect often, especially as firms can confuse having AI tools with having an AI strategy. In fact, many firms measure the effectiveness of their AI strategies with usage data, but Snavely and Lein argue that only focusing on usage does not give a full picture. Rather, they say that the key to effective AI transformation is driving measurable value for clients and the firm. “Awareness and simple use are not a strategy,” Snavely notes. “The real question is whether lawyers have actually changed how they work and the benefits that brings to the firms and its clients.”
Since AI is always evolving, law firms need to alter their cultural paradigms to better prioritize a proactive mindset that treats constant technological change as a standard operating environment rather than a temporary disruption — a concept known as “change agility.”
Lein underscores the challenge by pointing out that the technology-first mindset is getting the order of operations backwards. When firms lead with the tool rather than the lawyer’s problem, they are asking people to change their entire workflow for a solution that does not yet feel worth the investment of time and mental bandwidth to change.
“When you lead with the tool, you are asking lawyers to change their process or approach to the work for something that has not yet proven its value,” Lein says. “Start with the problem, then the right technology becomes obvious.”
To address this challenge, Snavely and Lein recommend that law firm leaders do the harder work of mapping lawyer problems to AI capabilities and identifying those professionals who can bridge that gap before investing broadly in AI adoption. Simultaneously, they should also focus on opportunities that AI can unlock for clients that were not previously possible.
What ‘change agility’ looks like
Since AI is always evolving, law firms need to alter their cultural paradigms to better prioritize a proactive mindset that treats constant technological change as a standard operating environment rather than a temporary disruption — a concept known as “change agility,” Snavely explains.
“Change agility is not a skill you train once,” he adds. “It’s a strategic reflex you build into the organization — change agility means continuous learning is baked in, not bolted on.”
Lawyers are being asked to keep up with a technology that reinvents itself every few months; and without careful prioritization, firms will see their professionals burn out from the noise of the technology changing.
At the same time, the pair acknowledge that constant change is exhausting. Lein flags a particular fatigue risk that leaders often underestimate. With prior technology cycles, there was a stabilization window in which people could absorb, adapt, and refine — however, this does not exist with AI tools.
Lawyers are being asked to keep up with a technology that reinvents itself every few months; and without careful prioritization, firms will see their professionals burn out from the noise of the technology changing.
Emerging indicators that some firms are succeeding
To strike the balance, both experts agree that a key part of the solution to better AI transformation within a law firm is clarity of direction. People can tolerate a great deal of ambiguity if they understand where the firm is heading and what their role is in getting there. Firm leaders who communicate a clear AI strategy — one that is connected to the firm’s overall direction and not just bolted on — give their people something on which to orient themselves amid constantly changing dynamics.
Further, Snavely and Lein identify five markers that consistently distinguish those law firms making progress from those generating activity without resulting AI transformation. These five markers include:
1. Fostering an acceptance of failure — Firms that have normalized rapid experimentation — trying, adjusting, and moving forward — without the expectation of getting it right the first time are outpacing those that still operate under the assumption that AI adoption will occur solely through webinars and one-time training events.
2. Developing consistent storytelling as a key tactic in communications — In the highest performing firms that Snavely has assessed, the same client success stories circulate repeatedly and consistently across interviews with different lawyers. These firms treat these success stories as cultural infrastructure, repeating them until they become part of the firm’s shared identity.
3. Establishing role clarity — Lein observes a meaningful difference between firms that formally incorporate AI into job descriptions and those that have left it as an informal add-on. “Ensuring AI is a clear part of a lawyer’s role is a meaningful job satisfaction signal and a leading indicator of adoption depth.
4. Aligning performance incentives with AI experimentation — Most law firms are still in early thinking mode on compensation structure alignment, but those firms with incentive frameworks that reward AI-driven value creation with new service offerings, recovered time that can be redirected to higher-value work, and measurable client outcomes, will more effectively reinforce the behaviors that drive transformation.
5. Defining what “good” looks like at the work-product level — Firms that define explicit standards for quality and build those standards into how AI output is supervised and evaluated will position themselves better over the next few years than those that leave expectations undefined.
Lein frames all these markers as both a cultural and a structural imperative because AI can amplify existing organizational behavior — both productive and dysfunctional — within a firm. “AI is an accelerator of work, but it is also an exacerbator of bad cultural issues,” he explains.
Together, these five signals can complement each other and more importantly, compound into a durable competitive advantage for those law firms that act upon them.
You can find out more about the challenges of AI in the legal industry here
