AI for Law Firms: Myths and Realities Explained
The future of law is not under threat, but it is being reshaped.
There is a strong narrative in legal circles that AI for law firms poses an existential threat to the entire legal profession. Some are convinced lawyers will be replaced and that firms will become obsolete. That much of what we recognize as legal work today will just disappear.
I understand where that concern comes from. With the ever-increasing capabilities of AI tools for legal drafting, review, and research, it is true much of the production-level work of law has been commoditized. That said, I do not equate that reality with the frequently touted negative view for the future of the legal profession.
Objectively, law is one of the oldest professions in the world. It has managed to adapt through industrial revolutions, globalization, financial crises, and fundamental shifts in how business and society operate. Each time, the nature of legal work has evolved. Some legal specialisms have come and gone, but the need for legal expertise has remained.
The same will happen again from this AI revolution and that the future of law is not destined to be a diminished version of today. I believe it will be reborn as a more capable, more structured, and even more valuable version than we see today.
AI for law firms needs to become part of operational wiring
My conviction comes from being really clear about what is changing. The current wave of AI innovation is focused on what we would describe as the “practice of law.” This is the drafting, review, e-discovery, summarization, research, and document-level analysis, and workflows. These AI tools and capabilities are mind-bogglingly impressive and continue to improve, but they are also becoming increasingly, and widely, available.
These tools will become less differentiated over time, in fact, we are already seeing this, with foundation AI providers almost able to match the exact capabilities of many specialist legal AI tools.
The more important shift is happening in the “business of law” realm. Business of law is the operational wiring across the work that happens outside documents, like how firms manage work across matters, how they allocate and coordinate resources, ensure consistency and quality, intake new clients and grow their business, maintain compliance and control, get paid for their work, understand performance and profitability, and deliver reliable client experiences.
This is also where most firms have historically struggled from using systems and processes that could not keep with the complexity of their work.
AI applied to the business of law doesn’t replace expertise, it creates the right conditions for expertise to be applied more effectively, more consistently, and at scale.
The expert cost of AI generated bottlenecks
I have worked at law firms across the United States, Ireland, United Kingdom, and Australia, and today talk to firms in all those markets and more, daily. While the specific strengths of each firm vary, their fundamental value to their clients and to society is consistent.
Clients do not choose a law firm because it can produce a beautiful document quickly. They choose a firm because they trust its track record, they choose a lawyer because they trust their expert judgement. They believe that expertise will protect their interests, guide them through complex issues, and help them make the right decisions at the right time. That is the core nub of value for the profession and effectively what people and businesses are buying when they engage legal services.
AI will not remove that value. As routine tasks become easier, the value of the legal profession shifts even more to the areas that require that experience, context, and accountability.
Where I see some real risk in how the industry is currently responding. If we focus too heavily on task-level efficiency, we can end up creating more outputs but without improving outcomes. Faster drafts lead to more documents, more documents lead to more review, more review means more review and approval pressure on the people whose judgement matters most. The bottleneck does not disappear, it moves upstream to more expensive resources. Without the right infrastructure around it, AI can introduce as much friction as it removes. Law firm and legal tech AI focus needs to shift from speed to systems.
Protecting and amplifying legal expertise with AI for law firms
This is where my personal conviction and my professional concerns overlap. The future of legal technology should not be about replacing legal work or expertise. It should be about protecting expertise and amplifying it. Our futures do not compete with each other.
Shifting the AI focus to systems means law firms will rely on platforms that can:
- Organize the full context of a matter, not just its documents
- Ensure work progresses in a controlled and visible way
- Embed AI within workflows so it supports decisions rather than bypassing them
- Maintain clear ownership, approvals, and accountability at every step
- and use the firm’s own data and experience to inform better outcomes
Expertise in a law firm is institutional and comes from the whole of all the individual professionals working there. Expertise is not just knowledge of the law. It is also how they work, how they make decisions, and how they apply knowledge to different situations. In my view, the firms that will thrive with AI will treat institutional knowledge as an asset and use technology to put it to work.
Why systems of record matter more in an AI world
For AI to be genuinely useful in legal practice, it needs to operate within the structure of the firm.
- It needs context (a full understanding of the matter, the client, and the history)
- It needs control (clear workflows, responsibilities, and approval points)
- It needs governance (auditability, compliance, and trust)
These are not optional, whether lawyers are chiseling in stone or using AI for every written word. This is where systems of record for core governance and operations platforms become more important in an AI-driven environment. AI agents need to understand the ideal and the reality of how a firm works to be safe and accurate.
The goldilocks of law firms are mid-market firms
Mid-market firms are in a really good position to take the most advantage of this transition. They have enough scale to benefit from operational improvements, but they don’t have the level of institutional complexity or, frankly, inertia that larger firms have. They do complex work, while maintaining close client relationships. Because they run leaner with junior associate numbers, their senior, high-value resources benefit when AI takes on routine tasks. Expert judgement gets applied where it matters, not diluted across administrative burden.
AI has the potential to remove many of the structural disadvantages midsize firms have faced. Particularly around administrative burden, lack of tech budgets, or innovation teams and access to insight. At the same time, AI does not change is the importance of their close client relationships, their expert judgement, and their ability to deliver a high level of service. In many ways, it amplifies those inherent strengths rather than threatening them.
Junior lawyers shouldn‘t burn their qualifications just yet
One of the overlooked aspects of this shift to AI is the real impact on people and the talent pipeline.
There is valid concern that AI will reduce the need for lawyers, particularly at the junior end of the profession. If that plays out, the pipeline of future law firm partners and experts runs dry within 10 to 15 years. That would be a serious structural problem for the profession.
Apart from some professional development rotations and skills training, the crux of a junior lawyers’ training relies on proximity to more experienced colleagues such as sharing offices with partners, learning through observation and repetition. It is costly, inconsistent in quality, and assumes senior lawyers are naturally good teachers and managers. A generous assumption in my experience. Law firms can use AI to make training and on-the-job learning more structured and consistent in quality, delivered without the expense of senior expert time. AI training and learning agents can surface patterns, highlight risks, and provide client and legal context that previously took years of experience to accumulate. The implicit institutional knowledge of a firm can be made visible and more accessible to lawyers who haven’t yet lived through enough situations to have built themselves.
Firms that invest in AI-augmented training will develop better lawyers more quickly than traditional training models allow. That’s an incredible competitive advantage and a genuine answer to the talent pipeline concern. At the same time, more experienced lawyers will be able to spend less time on administrative overhead and more time on the work that requires their expertise. That improves both the quality of work and the experience of the people doing it.
The future of legal talent is strong for firms that embrace AI-augmented and system-level AI deliberately. So, let’s not jump to assumptions about the reduced role of lawyers in future. Let’s assume AI increases their capacity to provide better expertise.
The future of law…is bright
I am optimistic about the future of law and the future of mid-market law in particular. Firms who are successful in this AI revolution will be defined by a few clear shifts.
- They operate as well-oiled businesses with strong underlying systems and visibility into performance will outperform those that resist AI adoption or keep AI on the fringes of how they practice.
2. They embed AI into how work gets done, not as a separate layer of AI tools, will see the demand for their expert judgement increase and be more easily met without the administrative friction they battled before.
3. Law firms will rely on platforms that connect and govern data, structure workflows, and support expert decision-making rather than getting side-tracked by “bright-shiny” AI point solutions.
4. Successful law firms will continue to invest in and rely on the quality of their people, but shift to adding AI tools to train better, help associates learn faster and, in time, build deeper expertise.
5. Mid-market firms, in particular, will be able to compete at a level that was previously difficult to achieve, combining sophistication with market agility and strong client relationships.
Law has survived every revolution it has faced. My call to action to law firm leaders, and legal tech providers is to take a more deliberate approach by focusing on how your firm operates as a whole and how technology can support that. If you see that as your main job now, AI will not make lawyers obsolete. It should make their expertise clearer, their decisions better, and their judgement more valuable than ever.
Written by Triona Buckley
Triona Buckley is Actionstep’s Chief Product Officer, with more than 20 years shaping marketing, product, and strategy at law firms and legal tech businesses across Australia, the US, Europe, and New Zealand. She has built her career at the intersection of technology and midsize law, and believes the right platform doesn’t just run a firm, it gives it a competitive edge. At Actionstep, she leads the product vision for firms that want technology that works the way they do.
