About
MobiDev provided technical analysis and architecture consulting for an AI-driven legal triage platform. The web product streamlines medical negligence reviews by digesting surveys, medical records, and imagery to estimate negligence probability with detailed reasoning. It utilizes an advanced cloud-based LLM pipeline (GPT-4.5/Claude) built on a compliance-first, data-obfuscated Python framework.
Challenge, approach, and impact
Enterprise Compliance and Complex Legal Reasoning
The client required deep technical validation to ensure a web-based legal triage engine met strict HIPAA and GDPR standards across multiple international jurisdictions (US, UK, EU, UAE). The main challenge lay in processing unstructured medical reports and patient surveys to calculate negligence probabilities. Furthermore, the architecture had to guarantee that no raw Protected Health Information (PHI) was exposed to cloud LLM APIs.
How we built
Testimonials
Anonymous
“LegalTech in the medical negligence space is an architectural minefield because you are dealing with HIPAA and GDPR simultaneously. The client had an excellent foundation using LangChain and powerful models like GPT-4.5, but they needed our expertise to turn it into a bulletproof enterprise platform. We focused heavily on the ingestion pipeline, ensuring that data obfuscation happens at the absolute edge before any cloud API call is triggered. Giving legal professionals a fully reasoned negligence score in minutes (without ever compromising patient privacy) makes this architecture incredibly high-value.“
Team structure
Client team
James
Founder
The client stakeholders were working closely with the team at MobiDev
Agency team
Solution Architect
Production
AI Engineer
Production
