We are Clifford Chance, a leading global law firm that combines legal excellence with business innovation. We provide our clients with bespoke solutions that address their complex challenges and help them achieve their goals. We embrace the opportunities of technology to deliver value, efficiency and quality in everything we do. We are recognised by our clients as a trustworthy partner and safe-pair of hands when exploring new technology and are proud of our track record of deploying cutting-edge technology across our business.
Clifford Chance offers one of the most compelling early career pathways in the legal profession, structured around three core programmes.
The firm also runs an award-winning Global Virtual Internships programme that, since launching in 2020, has attracted well over 165,000 enrolments a sign of both the firm's reach and its commitment to accessible, scalable talent development. That ambition is reflected in its reputation: for the fourth consecutive year, Clifford Chance has been named the Most Popular Graduate Recruiter in Law by over 65,000 students, and ranked 14th in the Times Top 100 — the highest position ever achieved by a law firm.
For those at the intersection of law and technology, this is a particularly significant moment to join. Clifford Chance is not simply hiring the next generation of lawyers, it is building the team that will define what legal practice looks like in an AI-enabled world, with the global platform and client exposure to turn that ambition into reality.
Robert Clay, Head of Ideation and Exploration - Legal Technology Solutions ⭐ Grand finale judge
Utkarsh Bhargava, Senior Legal Technology Advisor ⭐ First-round judge
Anthony Widdop, Global Transformation Lead - Global Financial Markets ⭐ Speaker: ‣
Jacob Bruchez, Associate – Private Equity
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Josh Kennion, Senior Associate – Antitrust
As generative AI becomes embedded in legal practice, legal work is increasingly carried out by hybrid teams of lawyers and AI agents (whether fully or partly autonomous). AI solutions already draft, summarise, analyse and recommend—but responsibility for the work product still sits firmly with human lawyers.
Traditional supervision models (e.g. partner review, delegation down a hierarchy) were designed for human only teams. They do not translate cleanly to a world where AI can operate autonomously, at scale, and across multiple matters simultaneously. The challenge is no longer whether AI can assist with legal work, but how that work should be supervised, reviewed, trusted and ultimately signed off.
Getting this wrong creates real risk: quality issues, loss of professional judgement, unclear accountability, and erosion of trust in AI enabled legal services.
Your mission is to design a solution that enables effective supervision of legal work performed by human–AI teams. The solution should help lawyers (i) understand what work AI agents have performed; (ii) review and challenge AI outputs proportionately; (iii) maintain accountability for legal judgement and outcomes; and (iv) scale supervision without reverting to inefficient, manual review. You may focus on a specific legal task (e.g. drafting, research, review, risk analysis) or propose a broader supervisory framework that applies across multiple workflows.