Project Overview
CaseNota is an AI-powered platform designed for personal injury law firms and legal professionals. It transforms thousands of pages of medical records into structured, actionable data — turning weeks of manual work into minutes.
The Problem
Legal teams handling personal injury cases spend enormous amounts of time manually reviewing medical records, building timelines, and tracking down missing documentation. This repetitive work is expensive, error-prone, and keeps attorneys from focusing on case strategy.
Our Solution
We built a platform that automates the most time-consuming parts of case management:
- Medical Timeline Extraction - AI converts thousands of pages into structured chronologies automatically
- Treatment Gap Analysis - Identifies missing records and documentation holes across providers
- Natural Language Queries - Ask questions about cases in plain English and get instant answers
- Document Generation - Create demand letters and client updates from templates in seconds
Technical Architecture
AI-Powered Analysis
The platform leverages large language models to extract, organize, and analyze medical records with confidence scoring and built-in hallucination guardrails.
Serverless Backend
Built on AWS Lambda for scalable, on-demand processing of large document sets without infrastructure overhead.
Security & Compliance
End-to-end encryption and HIPAA-compliant multi-tenant architecture ensure sensitive legal and medical data stays protected.
Key Features
- Automated Timelines - Structured chronologies generated from raw medical records
- Gap Detection - Surface missing documentation before it becomes a problem
- Chat Interface - Query case details using natural language
- Workflow Automation - Track cases from intake to resolution with automated milestone triggers
- Client Communications - Templated emails tied to workflow events
Impact
CaseNota enables legal professionals to process cases faster, catch missing records earlier, and focus their expertise on strategy rather than paperwork — currently available in early access.