Legal Advisor (AI & Emerging Technology)
Locum Contract - Part time 2 days per week
Rate - £700 per day
Central London, Hybrid-Working
We are seeking appointment for a part-time Legal Advisor, who will provide specialist legal advice on artificial intelligence, supporting the design, development, and deployment of AI systems across the department. The role will act as a dedicated interface between the Justice AI Unit and internal Legal Services, ensuring timely, informed, and consistent legal input into AI-related initiatives.
The Justice AI Unit is seeing a growing volume and complexity of work involving artificial intelligence, including data usage, data governance, data residency, privacy, reviewing contracts for AI tools and suppliers, model deployment, procurement, incident response and guidance, tracking emerging AI regulation, ethics and compliance with evolving regulatory frameworks.
Key responsibilities for the AI Legal Advisor
- Accelerate decision‑making and reduce turnaround times for legal input
- Improve the quality and consistency of legal considerations in AI projects
- Enable earlier identification and mitigation of legal risks
- Strengthen alignment between policy, technology, and legal compliance
Key requirements for the AI Legal Advisor
- Strong legal qualification with experience in technology, data protection, or digital regulation
- Demonstrable expertise in legal issues related to AI, including data governance, privacy, intellectual property, and liability
- Experience advising on complex, cross‑functional projects involving legal and technical stakeholders
- Ability to translate legal risk into clear, practical guidance for non‑legal teams
- Familiarity with UK regulatory frameworks (e.g. UK GDPR, Data Protection Act, emerging AI regulation and guidance)
- Experience within government or public sector environments
- Understanding of AI/ML systems and their lifecycle (development, deployment, monitoring)
- Knowledge of procurement and contracting for digital or AI services
- Awareness of ethical frameworks and responsible AI principles
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