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
Improve decision making through non-generative AI
Read the full detail of action 2.6 on GOV.UK. (opens in a new tab)
Year 1 progress
In Year 1, a wide range of tools were deployed across probation, prisons and courts, particularly in risk assessment. These tools combine statistical modelling, data science and non-generative AI to provide frontline decision support at scale.
Year 2 priorities
In Year 2, we will build on this strong base through the expanded role of the Data Science and AI Hub, further developing advanced analytical tools with a stronger focus on explainability, ethics and transparency. This will deepen confidence in existing models, support their continued safe use in operational settings and lay the groundwork for more advanced AI-enabled decision support over time.
Case studies (3)
Online Probation Check-insScale
Online probation check-ins is a new service that enables people on probation to check in with their probation officer using a digital tool, providing an update on their wellbeing and support needs. The service supports existing supervision arrangements, with information from check-ins used to inform face-to-face meetings.
For identity verification, the service matches a video taken by the person on probation against a photo held on file. The platform makes a recommendation on image match, which is reviewed and verified by a probation practitioner.
Violence in Prisons EstimatorATRS — record published on the Algorithmic Transparency Recording Standard (opens in a new tab)Scale
This AI-powered algorithmic tool developed by Justice Digital, Data & Science (JDDS) helps prison staff to manage violence in prisons.
The tool produces an estimate of the number of violent incidents that an offender in custody is at risk of being involved in over the next year, based on their age and previous behaviour in custody. These factors were selected due to substantial evidence linking them to incidents of violence in custody.
Prison staff use the estimate, in conjunction with other data sources, to quickly identify whether an offender is likely to be involved in violence whilst in custody and how frequently. This enables HMPPS staff to prioritise their resources effectively and improve the safety within prisons. The tool also saves staff having to trawl through lots of data about offenders to understand the relative risk and greatest violence offenders.
Prison staff have said that the tool's estimates help them to be proactive and target the right groups of prisoners for support and wellbeing sessions, and that they see it as an important part of their toolkit for managing and reducing violence in custody.
All prisons have had access to this tool since 2019; its AI-enabled components have been strengthened in recent years.
Acquisitive Crime MappingScale
Justice Digital, Data & Science (JDDS) have developed an Acquisitive Crime Mapping Tool which uses location data and analytical tools to support the investigation of acquisitive crime and strengthen collaboration with policing partners.
The Acquisitive Crime (AC) pilot operated across 19 police force areas, where individuals on probation for acquisitive offences were required to wear GPS tags. Location data from tagged individuals is automatically matched against police-recorded crime locations. These matches are reviewed by the AC Hub, which prepares evidence packs - such as visual maps overlaying movement data with crime scenes - to support further investigation by the police. Following a successful pilot, the tool is now being scaled.
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 11 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
- 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 studiesYou are here - 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.