Authors
Catriona Watt – Partner
Benjamin Olley – Trainee Solicitor
James Orchard – Paralegal
For decades, the dominant model of legal practice has been built around leverage. Large teams of junior lawyers and paralegals have traditionally performed the labour-intensive elements of legal work, with senior lawyers applying judgement, strategy and managing client relationships. This pyramid structure has been central to the economics of many law firms: trainees become associates, associates support partners, and the cost difference between those levels creates profit because junior work can be billed at rates that exceed its delivery cost.
Generative artificial intelligence (“AI”) now presents the legal sector with a challenge that goes beyond the introduction of a new technology. It raises a more fundamental question: does the traditional legal workforce model remain economically sustainable when machines can perform an increasing proportion of the work historically assigned to junior lawyers?
The answer will determine not only how law firms operate, but also how future lawyers are trained, retained and valued.
AI is not replacing lawyers; it is changing what lawyers are paid to do
The legal profession has experienced technological change before. Electronic disclosure, document automation and online legal research have altered working practices, but largely improved efficiency without fundamentally challenging the structure of legal employment. Generative AI is different because it affects the cognitive tasks that sit at the foundation of early-career legal work: summarising documents, producing first drafts, reviewing contracts, conducting research and identifying issues.
The Solicitors Regulation Authority (“SRA”) has recognised that AI has the potential to significantly affect the delivery of legal services, but emphasises that solicitors remain responsible for the accuracy and quality of AI-assisted work1. The critical point is that AI does not eliminate the need for legal expertise; rather, it changes where that expertise adds value.
This creates a paradox for the profession. AI may make lawyers more productive, but increased productivity does not necessarily translate into increased demand for more lawyers. If a task previously requiring ten junior lawyers can be completed by three lawyers supported by technology, firms may need fewer people performing traditional junior-level work. That does not mean mass unemployment among lawyers. Instead, it suggests a transition away from a model where professional development depends upon undertaking large volumes of repetitive work.
The pressure on the traditional pyramid model
The conventional law firm pyramid relies on a simple economic assumption: junior lawyers perform relatively routine tasks at lower cost, allowing partners to provide higher-value advice at premium rates. However, clients are increasingly questioning whether they should pay premium hourly rates for work that can be automated, performed internally or delivered through alternative providers.
Thomson Reuters’ State of the UK Legal Market 2025 noted that corporate legal departments are reassessing their reliance on external counsel and increasingly looking towards technology and alternative legal service providers (“ALSPs”) to improve efficiency and manage costs.2
This development places pressure on firms whose profitability depends heavily on increasing associate headcount and billable hours. Notably, clients are becoming less interested in purchasing legal labour and more interested in purchasing legal outcomes. A business does not necessarily value a ten-hour piece of research because it took ten hours; it values the insight, risk assessment and strategic recommendation that emerge from that research.
The firms most likely to succeed will therefore be those that rethink the relationship between people, technology and pricing, rather than those that simply introduce AI tools into existing processes.
The future lawyer: fewer processors, more strategists
The likely consequence of AI adoption is not the disappearance of junior lawyers, but a change in the skills that make junior lawyers valuable. Historically, early-career lawyers developed expertise through repetition.
Reviewing hundreds of contracts or undertaking lengthy disclosure exercises helped lawyers understand patterns, risks and drafting conventions. If AI performs much of this initial work, firms will need to reconsider how they train future lawyers.
The UK Government’s analysis identifies a need for legal professionals to develop greater capability in areas including AI governance, interpreting AI outputs and understanding risk management.3 Similarly, the SRA has noted that lawyers do not need to become programmers, but they do need sufficient understanding of AI systems to supervise their use effectively.4 The profession therefore faces a training challenge. If AI removes some traditional “learning by doing”, firms must create alternative ways for junior lawyers to develop judgement.
A future trainee may spend less time reviewing thousands of documents and more time analysing AI-generated outputs, challenging assumptions and advising clients on their strategic implications.
That may ultimately produce better lawyers. But it requires firms to actively redesign training rather than assuming that traditional experience models will naturally survive technological change.
A risk of a divided profession
One of the less discussed consequences of AI adoption is the possibility of increasing inequality within the profession. Large international firms have the resources to invest heavily in technology, innovation teams and AI training. Smaller firms may struggle with the cost, expertise and implementation required. The SRA’s research into technology adoption (Technology and Innovation in Legal Services (2022)) found that lack of financial capital and lack of staff expertise were among the most significant barriers preventing firms from adopting legal technology.5
This creates a potential divide: larger firms may use AI to increase productivity and competitiveness, while smaller firms struggle to access the same benefits. There is also a workforce divide. Lawyers who develop technological confidence may become significantly more valuable, while those who continue working in traditional ways may find their roles increasingly vulnerable.
However, this should not be viewed simply as a generational issue. Senior lawyers possess something AI lacks: experience, commercial judgement and an understanding of clients’ businesses. The most successful professionals will be those who combine legal expertise with technological adaptability.
Alternative career paths and the changing meaning of legal talent
AI is also accelerating a wider shift in how legal talent is deployed. The traditional route – qualify, become an associate, pursue partnership – no longer reflects the aspirations of every lawyer. Increasing numbers of professionals are seeking flexibility, specialist roles and different working models. ALSPs have grown significantly as businesses seek access to specialist legal expertise without traditional law firm structures.6 These organisations increasingly compete for the same talent pool as established firms by offering alternative career paths.
This creates a strategic challenge for law firms. The question is no longer simply, “how do we recruit the best lawyers?” It is, “why would the best lawyers choose our model?”
Future legal careers may become more diverse. Some lawyers will pursue partnership. Others may become legal technologists, knowledge specialists, project managers or strategic advisers. The firms that recognise and support these different career paths may be better positioned to retain talent.
Human judgement remains the differentiator
Despite the disruption AI creates, the future is unlikely to belong to technology alone. Legal advice is not merely an information exercise. Clients require judgement, trust and an understanding of commercial and personal consequences. Those qualities remain deeply human.
The danger for law firms is not that AI replaces lawyers. The danger is that firms fail to redesign their workforce around the activities where lawyers provide the greatest value.
The winners of the next decade will not necessarily be the firms with the most advanced technology. They will be the firms that successfully combine technology with professional expertise.
Conclusion
Workforce transformation in the legal sector is often presented as an AI adoption challenge. In reality, it is a business model challenge. Artificial intelligence is forcing law firms to reconsider assumptions that have existed for generations: how lawyers are trained, how work is allocated, how value is measured and what progression looks like.
The legal profession has always adapted to technological and economic change. However, this transformation is different because it reaches the foundations of how legal services are produced. The firms that treat AI merely as a productivity tool may achieve incremental improvements. The firms that recognise it as a catalyst for redesigning the legal workforce will have the opportunity to create a more efficient, innovative and sustainable profession.
The future legal workforce will not be solely determined by the presence of AI, but by the decisions firms make about how to integrate it. Those that redesign their workforce around judgement, strategy and client value will set the standard for the next generation of legal practice. Those that do not will find that technology has simply exposed the weaknesses in a model that was already under strain.
Sources :
- Solicitors Regulation Authority, Risk Outlook Report: The Use of Artificial Intelligence in the Legal Market (2024)
https://www.sra.org.uk/sra/research-publications/artificial-intelligence-legal-market/ - Thomson Reuters Institute, State of the UK Legal Market 2025 (2025)
https://www.thomsonreuters.com/en-us/posts/wp-content/uploads/sites/20/2025/04/State-of-UK-Legal-Market-2025.pdf - Department for Science, Innovation and Technology, AI Skills for the UK Workforce: Sectoral Overview – Legal Services (2025)
https://www.gov.uk/government/publications/ai-skills-for-the-uk-workforce/sectoral-overview - Solicitors Regulation Authority, as at n.1 above
- Solicitors Regulation Authority, Technology and Innovation in Legal Services (2022)
SRA | Technology and Innovation in Legal Services | Solicitors Regulation Authority - Thomson Reuters Institute, Alternative Legal Service Providers and the Maturation of the Remote Legal Team (2023)
legal.thomsonreuters.com/en/insights/reports/alternative-legal-services-providers-report-2023