AI Action Plan Explorer

The Ministry of Justice (MOJ) is at the forefront of responsible AI adoption across government. One year on from publishing the AI Action Plan for Justice, this explorer highlights progress against our ambitions. We are committed to being transparent about how we use AI and will continue to work with industry, academia, civil society and the wider public sector to realise its benefits safely and responsibly.

This explorer will not be updated in real-time. It represents a snapshot of our Year One progress (30 July 2025 – 30 July 2026) against the AI Action Plan for Justice, accurate as of 24 September 2026.

In Year One, we committed to establishing strong foundations, building capability and delivering early wins.

Explore our selection of case studies to discover how AI is being applied across the justice system.

In Year Two, our priority is to scale what works to improve outcomes more widely across the justice system. All future work will be taken forward in line with appropriate engagement and consultation requirements, including with trade unions where relevant.

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1. Strengthen Our FoundationsAction 6 of 7 in this category
  1. Our Work
Progressing

Address infrastructure challenges to enable AI readiness

Read the full detail of action 1.6 on GOV.UK. (opens in a new tab)

Year 1 progress

In Year 1, the Justice AI Unit's dedicated platform engineers alongside Justice Digital, Data & Science (JDDS) colleagues have worked jointly to address infrastructure challenges to strengthen AI readiness. Core digital and engineering infrastructure has been established to support AI delivery at scale, including secure cloud compute, resilient data processing arrangements and shared platform components.

We have also made progress on data and integration foundations. The Integration Hub is being developed to support event-based data movement, improving the timeliness and consistency of data flows critical for AI solutions. Enhancements to API integration are making it easier for teams to consume data, while enhancements to the analytics environment are establishing a central analytical platform with a clearer single source of truth.

The insourcing of LAN, Wi-Fi, WAN overlay and Network Security solutions has significantly improved visibility of performance and operational data, strengthened the security posture and simplified and modernised the network estate, ultimately providing users with faster, more stable and more flexible connectivity.

Year 2 priorities

In Year 2, we will improve consistency of access to core AI infrastructure and services for engineers while enhancing platforms to support end-to-end scalability, security and resilience. We will also further expand foundational platforms, such as the Justice Data Mesh, to improve AI tools' access to high-quality data. AI and digital teams will also jointly explore AI and model capability marketplaces, with a focus on enabling engineers to securely access shared AI services, supporting faster development and greater reuse opportunities as AI adoption grows.

With Chief Technology Officer oversight, we will continue streamlining how AI models are accessed across the organisation. Providing consistent access to AI models through standard departmental gateways has strengthened our governance and control. By concentrating access through approved platforms, we will gain greater visibility of how AI is being used, can apply consistent security and policy controls, and are better able to manage risks, usage patterns and compliance obligations. This gives the department a level of oversight and assurance that would be difficult to achieve through fragmented or unmanaged access routes.