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Apex Legal Partners• Legal & Professional Services
Building an Autonomous AI Intake System for Legal Services
Engineered an automated client intake & document synthesis agent using Claude, Zod, and Convex.
Tech Stack & Tools
TypeScriptNext.jsConvexClaude APIZodSentry
Project Impact & Results
- 85% reduction in client intake processing time
- Automated parsing of 1,200+ multi-page PDF documents monthly
- Sub-second realtime dashboard updates for legal assistants
Deep Dive & Architecture
# Autonomous Legal Intake System
### Executive Summary
Apex Legal Partners required a robust document synthesis pipeline to automate their inbound client consultation triage.
### Implementation Details
We developed a serverless architecture using **Next.js**, **Convex**, and **Cloudflare Workers**. Inbound documents are uploaded directly to Convex storage, triggering background workers running Claude LLM function calling to extract structural data validated with **Zod schemas**.
### Key Outcomes
The platform processed over 1,500 cases in its first 90 days with 99.4% accuracy.
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