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Case Study

JudgeFinder

An AI-powered judge research platform that helps attorneys prepare for court with data-driven insights.

The Problem

Attorneys walking into court often know little about the judge hearing their case. Research is scattered across bar association websites, legal forums, and word-of-mouth from colleagues.

There was no centralized, data-driven platform for researching judges — their tendencies, backgrounds, courtroom preferences, or contact information.

The Solution

We built JudgeFinder — an AI-powered platform that aggregates judge data from public records, court websites, and legal databases into comprehensive, searchable profiles.

Automated scraping with Puppeteer keeps profiles current. Attorneys can search by name, court, county, or practice area to find exactly the judge information they need.

The platform also includes a self-serve advertising system where attorneys can purchase ad placements on judge and court pages — creating a sustainable revenue model.

Results

3,461
Judges Indexed
270
Courts Covered
11,193
Ad Slots Available
$500/mo
Judge Ad Revenue

Tech Stack

Next.jsTypeScriptSupabasePuppeteerAI / NLPStripeNetlifyPostgreSQL

Building Legal Tech?

We specialize in platforms for the legal industry — from research tools to client intake systems. Let's discuss your vision.

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