18 Aug How AI is reshaping careers in-house
While much of the legal AI debate has focused on whether AI will reduce demand for lawyers, the more immediate impact is more nuanced. In-house legal teams are looking closely at how technology can improve efficiency, where they still need human capability and what skills their lawyers will need as the function evolves.
AI capability is becoming a hiring differentiator
Almost every in-house role now includes some legal tech or AI element, and companies increasingly want lawyers who are willing and able to engage with new technology. Private practice lawyers moving in-house are therefore more attractive if they can demonstrate genuine enthusiasm for AI alongside practical experience of using it.
There is also a growing distinction between basic AI “users”, those who incorporate it into their day-to-day workflows, and those who can improve or redesign the way legal work is delivered. Demand is increasingly focused on the latter two groups.
When two candidates are otherwise equally strong, the lawyer who has proactively developed their AI and technology skills is increasingly likely to have the advantage. Employers value not only technical capability, but evidence of curiosity, initiative and a willingness to learn.
Investment in technology is changing hiring decisions
Where an organisation sits in its AI journey now comes up in almost every client meeting we have. However, this is not necessarily translating into increased permanent hiring.
Instead, existing team members are taking on additional responsibility, organisations are identifying internal AI “super-users”, and some permanent recruitment is being paused while businesses determine their longer-term approach.
Many are choosing to invest in AI tools before adding permanent headcount. At the same time, we have seen a significant increase in interim hiring as legal teams bring in temporary expertise or additional resource while they assess technology investments and redesign how work is delivered.
New roles and career paths are emerging
AI is also reshaping where lateral movement is easiest and most valued. We are seeing growing opportunities around legal operations and process design, AI governance and risk, vendor and tool management, and transformation-focused positions.
Legal and technology skills are increasingly converging, with growing interest in hybrid roles such as Legal Engineers, AI Engineers and Legal Quants.
This raises a wider question about how lawyers develop judgement and commercial awareness in an AI-enabled environment. As less time is spent producing first drafts and more time is spent reviewing, challenging and validating AI-generated work, the skills developed during the formative stages of a legal career will inevitably change.
Lawyers need to take ownership of their AI skills
For lawyers considering a move, AI capability should now form part of their career development planning. That could mean undertaking relevant courses, actively seeking exposure to new tools or becoming involved in technology and transformation projects within their current organisation.
Being able to demonstrate in an interview that you have proactively pursued learning opportunities can be impressive. Candidates should also be assessing prospective employers in the same way: what technology is available, how advanced is the organisation in its adoption of AI and legal technology, and is meaningful investment being made
Increasingly, the quality of a career move may depend not simply on the organisation or job title, but on whether the new environment provides greater exposure to AI-enabled ways of working.
Human skills are becoming more valuable, not less
AI is primarily being used to increase efficiency rather than replace legal judgement. In-house teams are applying it across legal operations, contract management, workflow automation and business-facing processes, reducing the time spent on routine work.
But human oversight, commercial judgement and stakeholder management remain critical. As technology takes on more of the process-driven work, the premium on these capabilities is likely to increase.
Moving in-house today therefore means stepping into a role defined as much by proactivity, decisiveness, digital dexterity, business acumen and people management as by legal expertise. These skills will also become increasingly important in private practice as AI streamlines more traditional legal work.
The divide between private practice and in-house is changing
Across both law firms and in-house teams, lateral moves are increasingly being shaped not simply by where someone moves, but by how advanced the environment is in using AI to deliver legal work.
The strongest career moves will increasingly be those that provide exposure to AI-driven workflows, move lawyers closer to advisory, oversight or design roles, reduce reliance on pure document production and build longer-term technology capability.
This could gradually blur some of the traditional distinctions between private practice and in-house careers. Firms may increasingly concentrate on high-value advisory and disputes work, while in-house lawyers become more deeply embedded in business operations, process design and AI governance.
The career choice may therefore become less about status or setting and more about operating model: whether a lawyer wants to develop within an AI-enabled advisory environment or an embedded, business-integrated one.
A broader route to legal leadership
The longer-term impact could also be seen at the top of the legal function. Career pathways are already broadening beyond the traditional route to General Counsel, while the GC role itself is becoming increasingly operational and cross-functional.
As legal, technology and business responsibilities converge, lawyers who can operate effectively across all three are likely to have an advantage. Future legal leaders may increasingly resemble operational executives, with elements of the COO or CIO role sitting alongside their legal responsibilities.
For lawyers at every level, early exposure to AI-mature environments is therefore becoming an important career differentiator. The question is no longer simply whether lawyers will use AI, but how effectively they can use it to change the way legal work is delivered and increase their value to the wider business.
