Law firm or in-house? How AI is reshaping career choices for associates
Market status
Chambers Student: How has AI started to influence career decision‑making among associates in the UK legal market? Are you seeing clearer divides between those staying in private practice versus moving in-house?
Sarita Rai and Gillian Morgan: In private practice, we are starting to see associates asking:
(a) what AI tools prospective firms have before they consider applying, as they have become more accustomed to using them; and
(b) more thoughtful questions about work pipelines, as they are working through tasks faster and want assurance that pipelines are strong enough to sustain that.
On the in-house side, almost every role now includes some legal tech or AI element, and clients want lawyers willing to engage with new technology. Associates moving in-house are far more attractive if they show genuine AI enthusiasm and experience. AI capability is now a real selection filter in lateral hiring. Firms distinguish between AI "users" (basic adoption), "operators" (using AI in daily workflows), and "designers" (improving workflows and delivery). The biggest demand currently sits with the latter two.
CS: How has demand shifted in law firms compared with in-house teams as AI tools become more embedded in legal work? Have certain roles grown or diminished faster than others?
Rai & Morgan: Overall, AI is still in the early stages of transforming law firms. Most firms are investing significantly in new tools and capabilities, while in-house legal teams have generally been quicker to embed AI into day-to-day workflows. That said many in-house teams are not as progressed as they would like to be and there is still hesitancy behind some committing to implementing certain legal tech worried about what they would need to do if later down the line they wanted to switch providers.
In the UK, firms such as Linklaters have introduced a legal operations training contract, and we are likely to see more of this. Firms will need more legal operations capability, while the legal engineer role is already on the rise in-house. For now, however, humans still have the edge over AI. A lot of junior litigation work has historically been due diligence-heavy. In the US, many junior lawyers are not getting enough hands-on legal experience and are looking to move to smaller teams and smaller firms. While demand for junior lawyers is expected to become more selective over time, we are already seeing a slight slowdown in hiring at NQ level, although class sizes have yet to reduce significantly.
In-house, where their organisation is in terms of their AI journey comes up in almost every client meeting we have. Hiring is not accelerating significantly yet; instead, existing team members are taking on additional responsibility and identifying ‘super-users’.This has put a hold on some permanent recruitment, as clients prefer interim solutions while they decide which direction to take. Many are choosing to invest in AI tools rather than hiring, which has driven a significant increase in interim hiring as teams bring in temporary resources while assessing legal tech investments.
AI is reshaping where lateral movement is easiest and most valued. In-house, that means legal operations and process design, AI governance and risk roles, and vendor/tool management and transformation-focused positions.
CS: Why is this a particularly interesting moment in the UK market to be thinking about law firm versus in-house careers in the context of AI adoption?
Rai & Morgan: The role of the lawyer is evolving in both environments, particularly in-house, with skills for career progression shifting beyond pure legal expertise. Associates seeking a more commercial, dynamic role are drawn to this change.
The strongest lateral associates now show adaptability and systems thinking rather than pure legal output - moving comfortably between traditional and AI-assisted work, improving processes rather than just executing tasks, and understanding how AI affects pricing and client expectations. A divide is emerging between "doers" (strong technically, focused on execution) and "builders" (who redesign workflows and integrate tools) - and lateral markets increasingly reward the latter.
In-house, legal and tech skills are converging, with growing interest in hybrid roles like Legal Engineers, AI Engineers, and Legal Quants. The legal profession needs to rethink how lawyers develop judgement and commercial awareness in an AI-enabled world, where less time is spent drafting and more spent reviewing and validating AI-generated work.
The recipe for success
CS: What types of associates are best positioning themselves for success as AI reshapes legal roles? What skills or mindsets stand out now that didn’t necessarily 3–5 years ago?
Rai & Morgan:In private practice, business development skills are becoming increasingly important, particularly as they are a softer skillset that AI cannot easily replicate. The in-house community continues to place significant value on relationship-building, networking and commercial awareness.
In a sea of general corporate and finance lawyers, those developing niche expertise or a clear sector focus are standing out. Associates specialising in heavily regulated, technical or fast-evolving areas are increasingly viewed as indispensable. Cyber, AI and technology lawyers who are working alongside the evolution of the technology itself are particularly in demand. Regulated practice areas continue to remain busy as AI becomes embedded across industries and businesses navigate new legal and compliance challenges.
Increasingly, candidates are seeking firms where they can develop a personal brand, external profile and individual style earlier in their careers. There is also growing demand for associates who are commercially minded and proactive about building their own profile. Some firms encourage associates to participate in business development and client development, while others still expect associates to focus solely on delivering partner-led work. Commercially minded lawyers are getting ahead of the curve by building these skills early.
AI fluency is fast becoming an expected competency rather than a differentiator, especially for junior lawyers and laterals, who are now routinely asked how they use AI tools in practice. Demand is strongest in corporate/M&A, litigation, regulatory/compliance, and tech/data/privacy, where candidates can show AI-enhanced ways of working; bespoke advisory, private client, and strategic litigation still rest more on reputation and judgment.
CS: How important is prior exposure to legal tech when choosing between a law firm and in-house paths?
Rai & Morgan: It's generally unusual for lawyers to be deliberating between the two paths — most know where they want to be.What is starting to shift is the nature of lateral hiring itself - it's no longer simply firm versus firm, or firm versus in-house, but AI-mature organisation versus AI-lagging organisation. This creates some important dynamics - candidates from AI-mature environments are more attractive across the board, AI-lagging organisations struggle to retain talent, and lateral moves are increasingly driven by exposure to better AI-enabled workflows rather than prestige alone. As a result, associates are often moving laterally not just for the traditional reasons, but to gain better AI exposure, learn modern workflows faster, and future-proof their skill set.
CS: Are some practice areas or role types adapting more quickly to AI than others?
Rai & Morgan: Litigation, technology, corporate and property practices are adapting quickly to AI, particularly where work is document-heavy or process-driven. Data privacy and technology lawyers were early adopters, and many are evolving into AI-focused specialists, alongside growth in digital assets teams. On the disputes side, teams are using AI heavily for disclosure and drafting.
Bespoke, high-judgement work, such as complex litigation strategy, novel regulatory interpretation, board-level advisory, private client and sensitive investigations is evolving more gradually, as AI supports rather than replaces core reasoning. Role type matters too: junior, production-heavy roles are most disrupted, senior advisory roles are more augmented than replaced, and legal ops roles are growing fastest in-house — widening the divide between structured, data-driven work and judgement-heavy work.
The process
CS: What new questions should associates be asking themselves that they might not have considered before AI?
Rai & Morgan: They should be thinking about what courses they can undertake. It can be impressive in interviews to demonstrate that you have proactively pursued learning opportunities.
They should also be asking what technology exists in the firms they are considering moving to and be tuned into how advanced their firm is in AI adoption. Is investment being made? Are they keeping up?
For in-house roles, when two candidates are equally strong, the one who has proactively learned AI and technology skills is likely to secure the role. Clients increasingly value evidence of curiosity and initiative in this area.
CS: Are you seeing more movement between firms and in-house teams internationally as AI tools standardise legal work across borders?
Rai & Morgan: Not significantly. Cross-border movement is still driven far more by market conditions, regulatory requirements, business needs, and individual career goals than by AI. While AI tools are creating more consistency in how legal work is delivered globally, they have not materially changed mobility patterns between firms and in-house teams.
That said, there is increasing cross-border movement, driven more by AI-related skill convergence than by globalisation of legal work. AI is standardising core legal tasks globally — drafting, review, due diligence, research — making baseline skills more transferable across the UK, US, and common law markets.
UK-US moves (and vice versa) are being driven less by geography than by exposure to advanced legal tech ecosystems, and in-house roles at large multinationals are increasingly competing directly with top firms for talent.
CS: What should associates understand about how AI is actually used day-to-day in firms versus in-house teams before making the switch?
Rai & Morgan: In both environments, AI is primarily being used to increase efficiency rather than replace legal judgement. In private practice, it is most commonly used for tasks such as document review, due diligence, drafting support and research. In-house teams tend to use AI more broadly across legal operations, contract management, workflow automation and business-facing processes. AI is reducing time spent on routine tasks, but human oversight, commercial judgement and stakeholder management remain critical in both settings.
Across both law firms and in-house teams, lateral moves are increasingly shaped not by where someone moves, but by how advanced the environment is in using AI to deliver legal work. The strongest moves now increase exposure to AI-driven workflows, shift associates closer to advisory, oversight, or design roles, reduce reliance on pure document production, and build long-term AI legal capability.
Prospects
CS: Looking ahead, how do you see AI continuing to redefine the appeal of law firm and in-house careers? Why is now such a pivotal time to make a choice?
Rai & Morgan: There are now three parties in the room: the law firm, the client, and legal tech providers. Moving in-house today means stepping into a role defined as much by soft skills — proactivity, decisiveness, digital dexterity, business acumen, and people management — as by legal expertise, and these skills will matter increasingly in private practice too as AI streamlines legal work.
More broadly, AI is reducing routine legal work and raising the premium on judgement and cross-functional capability. Firms are shifting from volume-based delivery toward elite advisory and disputes work, while in-house teams compete on integration and influence, with lawyers becoming process designers and AI governance leads. The firm-versus-in-house boundary will blur, with career differences now shaped more by operating model than status. The choice is becoming more about which AI-enabled model — elite advisory delivery or embedded business integration — someone wants to develop their career in.
CS: How do the long-term career trajectories differ now? For example, does AI change partnership prospects in firms or leadership opportunities in-house?
Rai & Morgan: The role of the lawyer is evolving, and career paths are no longer as linear as before. Fewer lawyers see partnership as the sole marker of success, and movement between firms and in-house is more fluid. While AI's full impact on partnership structures is unclear, it's likely to reshape traditional leverage models and progression over time. In-house, leadership matters more than technology, since successful AI adoption depends on governance and behavioural change rather than tool choice — Boards increasingly expect legal teams to contribute to productivity and innovation, and legal leaders must champion adoption.
More broadly, AI is reshaping career trajectories by changing how leverage and value are measured. In firms, the associate-to-partner pipeline is becoming less linear, with success defined more by client ownership and AI-enabled delivery than pyramid leverage — likely producing fewer, but more commercially powerful, partners. In-house, pathways are broadening beyond General Counsel, pushing GCs toward more operational, COO/CIO-style roles. Across both, cross-functional leaders who bridge legal, tech, and business are progressing faster, with early exposure to AI-mature environments now a key differentiator.
Advice
CS: What advice would you give to associates trying to decide between staying in private practice or moving in-house in an AI-driven legal landscape?
Rai & Morgan: Upskill your AI capabilities. Coming out of the Covid period, those who moved in-house too quickly often found they lacked some of the core legal knowledge because they missed out on face-to-face learning and absorbing the experience of more senior lawyers. Experience and legal knowledge still matter. If junior lawyers are relying heavily on AI, how do they know the information is accurate? While the pull to move in-house may come earlier, there is no substitute for developing strong legal foundations and expertise.
Factor in learning opportunities through the SQE and other professional development routes. If you are pursuing a non-traditional path to qualification, make sure you are in an environment where your legal skills and lived experience can continue to develop. Remain curious and if your firm or in-house department is not taking AI upskilling seriously enough for your liking then take charge of your self development in this area as those that do will be the winners in this market.