Law firms are at a variety of stages of AI strategy development, adoption, and organizational maturity. While there are many important decisions being made on how to frame, structure, and evaluate these tools into legal practice, firm leaders are also considering the long-term impact on their firm’s business strategy.
The legal industry has survived, and often thrived, through a variety of market, economic, and technology disruptions in the past. Artificial intelligence is unique in numerous ways, however, including its breadth, depth, and extraordinary pace. Unlike previous technology disruptions, AI has the potential to impact nearly all aspects of law firm business strategy from external considerations such as growth strategy, market position, and client service delivery to internal structure and systems such as firm economics, incentives, talent, governance, and even the law firm business model itself.
Law firm leaders who are waiting for the technology to stabilize, for client demand to clarify, or for competitors to show them the way and learn from their mistakes are likely operating under an old paradigm that no longer works. The window for deliberate, proactive strategic response is open, but it is narrowing. Market leaders, some traditional and some newer entrants, are thinking beyond workflows and outputs and considering AI’s impact on strategic planning in a world that changes quarterly rather than in multi-year cycles.
Wherever your firm is on the AI adoption spectrum, the most important question is not how far along you are. It is whether your firm’s leadership is asking the right questions.
THE GROWTH MODEL IS UNDER PRESSURE
Even some of the largest, most sophisticated firms are still in operational mode. Despite public announcements of partnerships with leading global AI companies, innovative in-house product development, and scores of pilot projects, many are engaged in AI fluency training and risk management efforts. Others are thinking through the impact AI will have on their firm’s growth strategy going forward.
The dominant model of law firm organic growth has been remarkably consistent for decades: hire talented lawyers, organize them by practice, sector, and client teams, bill their time, and manage equity partnership growth to preserve the value of ownership. AI is decoupling capacity and growth from headcount and challenging this growth model and the historical norms for leverage.
In recent years, many firms have pursued more aggressive growth through acquisitions and lateral hiring and consolidation in the market continues to accelerate. For firms on buy-side, the rationale may remain for increasing market share, practice growth or geographic expansion. However, changes in the leverage model, variations in impact by practice, and the rationale for a wider geographic footprint may need to be reassessed in light of AI integration. Has the business case shifted?
On the sell side, firms that have remained independent may find themselves reconsidering that posture if they cannot invest in AI platforms and the talent to support adoption and integration at a pace sufficient to remain competitive. Large firm platforms with more mature AI integration may become an increasingly attractive option for firms facing that constraint.
MARKET POSITIONING
Strategy discussions around market position will need to evolve beyond size, practice and industry depth, geographic scope, collaborative service delivery, etc. Among the most consequential strategic questions of the moment is this: will AI become a source of durable competitive differentiation, or will it commoditize rapidly across the market, neutralizing any early advantage? The honest answer is that both dynamics are likely, and the outcome will vary by firm, practice area, and client segment.
Several distinct positioning strategies are emerging. Some traditional law firms are pursuing AI-led differentiation. They were early adopters and are pursuing not only automation but augmentation and finding creative ways to improve service quality and delivery and to redefine value. Others are adopting an AI-enabled efficiency posture, using AI primarily to maintain cost competitiveness while keeping differentiation relationship- and expertise-driven. A third group is striving to compete on human judgment, bespoke service, and institutional reputation, with selective and client-disclosed AI use.
New entrants are taking a different approach. AI-native firms have fundamentally reimagined legal service providers built from the ground up around AI-driven workflows, staffing models, and pricing. They are competing directly for work that established firms have long taken for granted, and they carry none of the law firm’s legacy economic assumptions or systems. AI-hybrid firms are taking a different path, combining traditional firm structure and client relationships with purpose-built AI capability through technology partnerships, staffing model innovation, or separate delivery platforms.
None of these strategies are categorically superior. The right choice depends on the firm’s client base, practice mix, brand positioning, and culture. What is no longer acceptable is the lack of a deliberate choice.
THE INTERNAL RECKONING
The external pressures described above are visible and under discussion in many venues. The internal implications may be more consequential.
The business model questions alone are significant. Many firms have begun to experience AI-driven efficiency but have not fundamentally changed their billing structures. Firms that surrender those gains through write-downs and rate reductions, without a corresponding repricing of the value delivered, will find their margins under pressure precisely when investment demands are highest. The billable hour is not dead, but its economics are under structural stress that AI is accelerating. Firms are exploring opportunities to capture the value of those efficiencies through alternative fee arrangements and value-based billing. They should be asking what novel pricing models can be developed that capture the value of AI-augmented quality improvements, service upgrades, and client outcomes.
Talent concerns are equally serious. Firms should be thinking through how lawyers will develop the experience they need for future partnership in an AI-enabled environment, what their partnership pipeline looks like in a world where leverage may be dramatically reduced, and what the attributes of a successful lawyer look like in an AI-driven practice.
Perhaps the least openly discussed internal implication, however, concerns compensation. Most law firm compensation systems were designed to reward behaviors that made sense in a billable-hour, headcount-leverage model, and AI is disrupting what have been the core compensation metrics. If a firm’s stated strategy is to compete on AI-augmented quality and client outcomes, but the compensation system still rewards individual personal production above all else, the strategy will fail. Not because the strategy is wrong, but because the incentives point in a different direction.
This is not to suggest that firms should engage in wholesale compensation redesign overnight. However, it is an argument that firms should engage in an honest examination of AI’s impact on compensation sooner rather than later. They should understand where the friction points might be during a transition before economic pressure forces the conversation in a much more urgent setting.
THE PLANNING PROCESS ITSELF MUST EVOLVE
Growth strategy, market positioning, and compensation are only part of the picture. Client expectations, partnership structure, ethics, governance, and data security carry significant strategic implications, as well.
For now, this article is intended to provide you with two takeaways. First, the strategic planning process for law firms needs to be reconsidered in light of the new realities in the market. Rigorous strategy development in an AI-driven legal industry is not the traditional process for a three-year planning cycle with AI as an added topic. It is not the work of a half-day planning retreat. It is an ongoing inquiry requiring frequent review, evaluation, and adjustment in a market that no longer moves on a predictable timeline.
Second, no one has all the answers. But law firm leaders need to incorporate a practice of strategic inquiry, grounded in market reality, and create the space to encourage honest conversation about some very difficult questions.
With recent associate layoff announcements and more expected, the widening gap between the biggest of Big Law and everyone else, and new entrants in the market every day, the market may answer the questions for you.
Marci Taylor is the founder and president of Mantra Legal Consulting, a strategy and management consulting firm serving law firms across the United States. She holds a Certificate in AI-Driven Leadership: Strategies for the Future from Stanford University and has worked with firms ranging from regional practices to AmLaw 100 organizations.
This article is adapted from her white paper, Intelligence at the Helm: Strategic Planning for Law Firm Leadership in an AI-Driven Market. You can download the full article here.
Reprinted with permission from the May 18, 2026 issue of The Legal Intelligencer. Further duplication without permission is prohibited. All rights reserved.
