UK Ministry of Justice accelerates critical decisions with AWS analytics and machine learning
The UK Ministry of Justice (MoJ) works to protect and advance the principles of justice, with a vision to deliver a world-class justice system for everyone in society. To support these goals, the MoJ turned to Amazon Web Services (AWS) to reduce operational complexity, enhance collaboration within the ministry, and reduce reliance on older monolithic systems. The ministry's Analytical Platform is built on AWS and serves over 500 data and analytics professionals daily. It powers ingestion and management of large data flows from legacy databases and modern digital microservices, and the MoJ is exploring AWS AI and LLM capabilities including Amazon Bedrock.
- Organization
- UK Ministry of Justice
- Industry
- Public Sector
- Location
- United Kingdom
- Published
- May 2026
Reported outcomes
Strategic outcomes
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- UK Ministry of Justice
- Provider
- AWS
- Maturity
- Production
- Linked source
- AWS Customer Story
To support these goals, the MoJ turned to Amazon Web Services (AWS) to reduce operational complexity, enhance collaboration within the ministry, and reduce reliance on older monolithic systems
Primary read
Use case focus
Showing 3 of 3
- 1Analytics
- 2Decision Support
- 3Generative AI Exploration
- Reduce operational complexity from legacy systems.
- Enhance collaboration within the ministry.
- Improve back-office and frontline decision-making with AI while supporting a large data and analytics community.
- Built an Analytical Platform on AWS.
- Used Amazon Managed Workflows for Apache Airflow to manage ingestion and data flows from multiple sources.
- Explored Amazon Bedrock to evaluate LLM use cases for improving operations and decision support.
- The Analytical Platform is used by more than 500 data and analytics professionals each day.
- It helps deliver consistent advice for ministers, frontline staff, and the public.
- The platform provides a foundation for experimenting with AI and LLM capabilities on AWS.
Sources & evidence1
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Technical implementation details available
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