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.
1. Strengthen Our Foundations
We will strengthen AI leadership, governance and ethics, data and digital infrastructure, and procurement to support AI adoption.
7 actions, 0 case studies: 5 Progressing, 1 Mature, 1 Complete.
2. Embed AI Across the Justice System
We will develop a suite of core AI products to address common, cross-cutting challenges across justice, using a clear “Scan, Pilot, Scale” approach.
12 actions, 13 case studies: 3 Early Stage, 3 Progressing, 5 Mature, 1 Complete.
3. Invest in Our People & Partners
We will invest in talent, training and workforce planning to accelerate AI adoption and transform how we work. We also plan to strengthen our partnerships to support AI-driven legal innovation.
5 actions, 2 case studies: 2 Progressing, 3 Mature.
7 actions shown
- 1.1Complete
Strengthen AI leadership and establish a dedicated Justice AI Unit
- 1.2Progressing
Implement robust governance to steer and track AI progress
- 1.3Mature
Make transparency a cornerstone of our AI approach
- 1.4Progressing
Scale an AI & Data Ethics Framework to build and buy responsibly
- 1.5Progressing
Improve data as a prerequisite for AI use cases
- 1.6Progressing
Address infrastructure challenges to enable AI readiness
- 1.7Progressing
Address financial and commercial barriers to procuring AI capabilities
