How is AI reshaping graduate recruitment — and what do employers need to know?
- Aug 18
- 2 min read
For the past two years, the story of AI in legal services has largely been one of contraction at the bottom of the ladder. Generative AI has demonstrated the ability to absorb the repetitive drafting, research and document review work that was once given to graduates and trainees. This year, UK lawyers are estimated to realise £2.4bn in productivity gains through their use of AI-powered legal tools.
As a result, many UK firms have quietly paused entry-level recruitment: Recent analysis conducted by the lawtech company GenieAI shows that paralegal vacancies have fallen by more than 60% since 2023.
There are tentative signs, however, that this picture is beginning to shift. Despite fears of a graduate ‘Jobpocalypse’ — a narrative that has gained significant traction considering the 1mn young people out of employment, education or training in the UK — the number of training contracts on offer at the UK's leading law firms remains higher than pre-Covid levels. Research even suggests that graduate recruitment within leading UK law firms is expected to rise by 7.4%.
For UK employers, this shift brings a fresh set of legal considerations across recruitment, contracts, training and restructuring. As firms increasingly adopt AI tools to handle routine, ‘grunt-level’ work, it follows that entry-level jobs are being redesigned around skills that were previously expected of more senior staff, such as judgement and people management. That’s a business decision, but it has legal knock-on effects:
If job descriptions and person specifications are rewritten to demand more responsibility of junior employees, employers should consider the following:
Benchmarking pay against the old banding may give the impression that junior employees (who have been assigned senior-level responsibilities) are not being paid enough.
Demanding disproportionate experience or qualifications for "entry-level" roles can inadvertently disadvantage younger applicants or those from non-traditional backgrounds.
Several employers are now using AI to simulate complex scenarios for trainees, effectively compressing the learning curve by providing junior professionals practice in high-stakes scenarios years before they’d typically have this opportunity in a courtroom.
While this presents an exciting opportunity for junior employees to refine their instincts and develop their skills, this does not remove the employer’s underlying duties towards junior staff. Apprenticeship agreements and training contracts still carry statutory and contractual training obligations. Employers relying more heavily on AI-driven training tools should ensure:
Apprenticeship standards and off-the-job training hour requirements are still genuinely met, not just notionally satisfied by AI interaction time.
Duty of care obligations aren't diluted. Over-reliance on AI without adequate senior oversight can lead to the creation of skills gaps and negligence exposure if junior staff are signing off on flawed work that they haven't been properly trained to check. This risk has been identified by law firms and other professional service providers.
None of this means employers should be opposed to adopting AI in graduate recruitment and training. However, the legal framework hasn't changed just because the technology has. Recruitment decisions, job redesign, training structures and any resulting restructuring should all be considered from the same perspective: Is it fair and is it well-evidenced?
Ronan D'Cruz is a solicitor at Constantine Law.