Executive Summary
A UK legal technology company running an AI platform for medico-legal case analysis was about to scale, but the architecture had been built by the founding technical team and never independently reviewed. With sensitive medical data flowing through a multi-service AI workload, the team wanted external validation against AWS best practices. Logicata delivered a Well-Architected Framework Review across all six pillars, identifying High and Medium Risk issues and producing a prioritised remediation roadmap suitable for both engineering and investor stakeholders.
Customer Overview
Sector: Legal Technology
Location: United Kingdom
The customer operates an AI-powered platform used by clinical negligence solicitors to process medical records, generate source-linked chronologies, and assess case viability. The platform handles highly sensitive medical data: patient records, clinical notes, imaging. It uses multiple AWS AI/ML services for intelligent document processing. Adoption was accelerating in the legal AI market and the technical foundation needed to be ready for it.
The Challenge
Speed of build had outpaced architectural assurance:
- Sensitive data at scale. Medical records and patient data require the highest security and compliance standards, not aspirational ones.
- Rapid growth. Increasing adoption by law firms made architectural fragility an existential risk.
- AI workload complexity. Multiple AWS AI services with complex data flows are harder to assess than a single application stack.
- No independent review. The architecture had been built by the founding technical team. Founding decisions had become assumptions that nobody had pressure-tested.
- Investor and compliance pressure. Demonstrating robust cloud governance was material to stakeholder confidence and ongoing fundraising.
The Solution
Logicata conducted a formal AWS Well-Architected Framework Review:
How the review ran
- Kickoff meeting to identify key stakeholders and arrange access for the automated tooling
- Workshop assessing the customer’s AWS Organization workload against all six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimisation, and Sustainability
- Formal report highlighting identified High Risk and Medium Risk Issues with suggested remediation plans
- Review meeting to prioritise remediation against business and compliance risk, and agree the next steps
Why this engagement type fits
For a fast-growing AI platform handling sensitive data, a WAFR is the highest-leverage assessment available. It surfaces structural risk before scale amplifies it, and produces an artefact that satisfies both engineering and external stakeholders. It is not a security audit, an architecture rewrite, or a cost review, and it doesn’t pretend to be. It is the right tool for “is this foundation good enough to grow on?”
Results
- Comprehensive six-pillar assessment of the AI platform’s AWS infrastructure
- High and Medium Risk Issues identified with actionable remediation plans
- Prioritised roadmap focusing effort on highest-impact improvements first
- Independent validation that gives investors and compliance stakeholders something defensible to point at
- A foundation for ongoing architectural governance as the platform scales
- Opportunities identified to optimise AI/ML service configurations and costs, which compound as usage grows
AWS Services Used
- AWS Well-Architected Tool
- AWS Organizations
- Amazon Bedrock and other AI services
- Amazon S3
- Amazon DynamoDB
- AWS Lambda
- Amazon VPC
- AWS IAM
About Logicata
Logicata is an AWS Advanced Partner holding the AWS Cloud Operations Management Competency, validated through an independent third-party audit. Logicata helps organisations build and operate secure, well-governed cloud platforms on AWS, enabling customers to reduce operational risk, meet assurance expectations, and scale with confidence.
