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.
- Year One snapshot
- to
- Accurate as of
Support the use of AI coding assistants to accelerate development and modernise legacy systems
Read the full detail of action 2.1.5 on GOV.UK. (opens in a new tab)
Year 1 progress
In Year 1, AI coding assistants have been deployed at scale across engineering teams, providing a baseline capability to accelerate software development and support the modernisation of legacy systems.
GitHub Copilot has been rolled out to developers as a standard tool, while the Justice AI Unit has also begun testing and evaluating a range of coding assistants. This work has focused on understanding how different tools can best support developer productivity, code quality and modern engineering practices.
Year 2 priorities
In Year 2, we will focus on widening access to approved AI coding tools, increasing choice for engineers and integrating these capabilities more consistently into day-to-day development workflows.
Priorities also include developing basic, proportionate metrics to better evidence productivity gains and understand impact over time.
Together, this work supports the overall aim of accelerating delivery, improving the sustainability of digital services and enabling engineering teams to modernise legacy systems more efficiently and safely.
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.
Actions in 2. Embed AI Across the Justice System
Action 6 of 12- 2.1Mature
Scale AI productivity tools across the system to free up time
1 case study - 2.1.1Complete
Equip every staff member with a secure AI assistant
- 2.1.2Mature
Accelerate insight with AI-powered search and knowledge retrieval
2 case studies - 2.1.3Mature
Use speech and translation AI to free frontline staff from admin burdens
3 case studies - 2.1.4Progressing
Automate repetitive admin tasks with AI-powered agents
2 case studies - 2.1.5Mature
Support the use of AI coding assistants to accelerate development and modernise legacy systems
You are here - 2.2Progressing
Explore how AI can improve scheduling and make better use of resources
1 case study - 2.3Early Stage
Explore AI solutions for personalised education and learning
- 2.4Early Stage
Explore how public facing AI assistants could improve access to justice
1 case study - 2.5Early Stage
Improve policy and strategic decision making through AI
- 2.6Mature
Improve decision making through non-generative AI
3 case studies - 2.7Progressing
Evaluate success regularly and adjust our approach as we go
About this snapshot
This explorer will not be updated in real-time. It represents a snapshot of our Year One progress ( to ) against the AI Action Plan for Justice, accurate as of .
In Year One, we committed to establishing strong foundations, building capability and delivering early wins. 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.
