Law firm leaders face no shortage of strategic advice but the process by which most firms develop strategy has become obsolete. This inevitably produces flawed strategy and hence poor decision-making.
For decades, strategising in large law firms has followed a familiar pattern: assess market opportunities and challenges, define priorities, produce a multi-year plan, review progress annually. This approach assumes that change occurs slowly enough for assumptions to hold over the life of a strategy. It assumes that data or knowledge is scarce and expensive – hence a solid basis for differentiation. It assumes that market position and scale are reliable proxies for performance and reputation.
AI is dismantling these assumptions.
AI does not merely improve the efficiency of strategy-related workflows. It radically reduces the cost of analysis, reshapes the composition of professional work, and shortens the lifespan of competitive advantage. The key challenge facing law firms is no longer what strategic choices to make. It is how strategy itself must be developed, tested, and sustained in a rapidly changing, AI-enabled world.
Meeting this challenge requires a return to first principles. Sustainable competitive advantage depends on three elements: clear, compelling client value propositions (CVPs); distinctive, defensible resources; and an organisation structured to deploy those resources effectively. AI is fundamentally altering all three.
Data and analysis are no longer a source of advantage
The most immediate effect of AI on strategising is the commoditisation of information and analysis. AI agents can research market data, analyse rival behaviours, identify patterns in client demand, and model strategic scenarios in minutes. Tasks that once required days or weeks of effort by researchers and analysts can now be performed quickly, repeatedly, at negligible marginal cost. Every firm can access substantially similar information and the tools to analyse it.
When analysis is abundant and cheap, advantage shifts to those who interpret it better, act on it faster, and align their organisations more effectively. Advantage depends less on what firms know and more on what they do with what they know. Sound judgment is more important than ever.
Client value propositions (CVPs) are even more crucial — and more fragile
Client expectations are also evolving in ways that challenge conventional strategy approaches. Increasingly, the business challenges that clients face span multiple legal, geo-economic, commercial, and technological domains. AI makes adjacent knowledge domains more accessible and dissolves practical boundaries between professional disciplines. It makes it possible to do more complex, multidisciplinary problem solving than before.
Firms must define precisely which clients they serve, how each interprets value, and why each chooses the firm over its peer rivals and other alternatives. Law firm strategies typically consist of ambitions to grow in selected markets, strengthen selected practices, and deepen selected client relationships. Even when accompanied by measurable objectives, these are aspirational choices, not strategic differentiators. This shortcoming is rooted in eras when power asymmetry favoured law firms and demand for legal services comfortably exceeded supply. In most mainstream areas of practice, those days are past.
Differentiation now depends on a firm’s capability to deliver outcomes that clients value and cannot easily obtain elsewhere. Whether through unique sector expertise, trusted relationships, integrated cross-disciplinary services, proprietary methods, or unusually effective organisation, a firm must stand out. This is not new, but the urgency is. AI touches all of these characteristics and provides unprecedented opportunity to pull ahead.
The most compelling CVPs are those co-created with clients. This is achieved through constant, intentional dialogue about how clients’ needs are changing, what outcomes matter most, and how value can be grown. This goes far beyond traditional client listening. Skills needed for this kind of deep strategic conversation are themselves a strong source of competitive advantage, precisely because they are hard to automate or replicate. Intelligence derived from such discussions, when translated into action, is even more valuable.
Advantage is shifting towards resources and organisation
AI is reshaping the resource base on which law firms depend. The organisational capability to produce legal analysis, synthesise large volumes of information, or perform general legal work is no longer rare. Other resources are becoming more important. Trusted client relationships, institutional reputation, sector depth, proprietary data have always been important but the way in which importance manifests is evolving. The resources required to integrate human expertise with AI in ways that produce radically better outcomes are a new need.
The most strategically significant resources include distinctly human capabilities: judgment, relational intelligence, creative problem-solving, and cross-disciplinary fluency. As already noted, as AI assumes more of the analytical and procedural workload, these human capabilities become more, not less, important. Firms that invest deliberately in developing them are building assets that compound over time and are extraordinarily difficult for competitors to replicate. Equally important is the capability to develop and deploy AI-enabled tools. The most sophisticated of these require a blend of deep subject matter expertise with digital skills. Not just tools supplied by an IT department, but “moatable” assets that are forged by subject matter experts collaborating closely with appropriately skilled technologists.
It is at the capability level that much strategy fails. Firms correctly identify attractive opportunities and articulate persuasive strategies, but lack the organisational capability to execute. Governance structures, incentive systems, and decision-making processes often reflect historical priorities and partnership politics rather than strategic needs. When technology accelerates the pace of change, firms with slow decision-making and rigid structures fall quickly behind. Those with more adaptive structures sense change earlier, respond more nimbly, and deploy resources more effectively.
Business models are under structural pressure
The traditional law firm business model assumes growth to derive principally from increasing headcount and leveraging junior lawyers. But when a material proportion of professional work is performed more efficiently by AI-enabled approaches, growth depends less on scale and more on capability.
Operating model effectiveness is a matter of central strategic concern, but frequently viewed as distinct from strategy. These are two sides of the same coin, so to speak. When firms are forced to reassess how work is structured, resourced, delivered, and priced, those that treat their operating model as a strategic variable will be the ones that win. The binary choice is straightforward: death by a thousand cuts as the firm retreats incrementally from familiar ways of doing things, or proactively rethinking the operating model from the ground up, grounded in the most compelling CVPs and the most strategically defensible resources.
Is scale (as headcount) itself a worthwhile strategic objective? The point has already been made that AI probably renders this false. Perhaps it never really was, although the contrary is a very deeply held assumption amongst law firms. It is an assumption that has driven many a law firm merger, over the years.
Excellence always trumps scale, though. Wachtell, Slaughter & May, and Macfarlanes are medium-sized firms. Correcting for scale, recent research shows that today’s most profitable firms are smaller, specialist firms – especially litigation boutiques. A firm of a couple of hundred lawyers, properly organised and AI-enabled, might be significantly more capable than firms several times its size that still operate under the traditional model.
Strategy as a continuous process — and everyone’s responsibility
Strategy has traditionally been approached through periodic events or actions: strategy reviews, retreats, annual planning cycles. In a rapidly changing world, where assumptions that once remained valid for years can be overtaken within months, this is not enough.
The answer is not to dispense with strategy and retreat to tactics. Strategy is more important than ever. What must change is the mindset and the process. CVPs must evolve intentionally, in tandem with client needs. When that is the foundation, resource allocation and organisational alignment follow almost intuitively.
Strategy can also no longer be the preserve of a senior leadership group. Every partner choosing how to develop a client relationship is making a strategic choice. Every associate deciding how to scope a matter is making a strategic choice. Every person collaborating on building an AI agent is making a strategic choice. Building firm-wide skills to read context, weigh trade-offs, and act in alignment with the firm’s direction is itself a strategic investment — and one that few firms yet make in any meaningful way. AI enables this more participative approach to strategising, but structures and processes must be designed to allow it.
What leaders should do now
1. Anchor strategy to CVPs. Shift from conventional client listening to a formal process of structured, ongoing dialogues with key clients about what they value, how their needs are changing, and why they instruct the firm rather than its rivals. Compelling, tailored CVPs are key.
2. Invest in genuinely distinctive capabilities. Identify the resources that are required to deliver your CVPs and which are truly ”moatable” – hard for rivals to replicate or achieve by other means. Concentrate investment there.
3. Treat human capabilities as strategic assets. Proactively and formally work to develop judgment, relational intelligence, and cross-disciplinary capabilities across the workforce. Build capabilities to use AI to not just incrementally improve but transform service creation and delivery. To sustain talent pipelines, investment must naturally include juniors.
4. Ensure organisational alignment. Adapt governance, performance metrics, incentive structures, and decision-making processes to actively support AI adoption. Misalignment between strategy and organisation (sometimes misidentified as “culture”) is likely the most common cause of strategy failure.
5. Shorten strategic cycles. Replace fixed multi-year plans with rolling strategic frameworks reviewed quarterly. The intent is not to abandon long-term ambition but to reduce the period over which detailed assumptions are treated as fixed. Recognise though that different facets of strategy involve different timeframes, and manage accordingly.
6. Pilot new delivery and operating models. Create ring-fenced initiatives with explicit mandates to experiment with AI-augmented services, alternative pricing, or hybrid delivery. Insulate potentially disruptive initiatives from the performance expectations and political forces of the core business that would otherwise kill them off. Scale those that demonstrate clear value.
7. Invest in AI literacy at every level. Strategy committees and management boards cannot make sound decisions about AI’s implications without a functional understanding of the technology. The same applies to partners and employees who must use these tools daily. Be intolerant of those who prefer not to learn.
The critical shift
The fundamental challenge is that the process by which strategy is developed has not kept pace with the environment in which it must operate. AI is not simply another factor to be incorporated into existing plans. It is altering the very foundations of sustainable competitive advantage. Information and analysis are commoditised. Professional domains are converging. Advantage has always rested on compelling CVPs, defensible resources, and the organisational capability to deploy them. But the pace at which these evolve today makes conventional strategy approaches too linear, slow, and rigid.
Firms that recognise this will strengthen their position as the legal services market endures further disruption. Those that continue to rely on traditional planning processes will find that their advantage erodes, as Hemingway once wrote in a very different context: very slowly, and then very quickly.
