Parsing Immigration Law with TypeScript: Building an AI Assessment Engine

The Challenge: Making Immigration Law Machine-Readable Immigration law is one of the most complex areas of US legal code. The EB-1A extraordinary ability visa, for example, requires applicants to meet at least 3 of 10 criteria defined in INA Section 203(b)(1)(A) . Each criterion involves nuanced interpretation that has been shaped by decades of case law, most notably Kazarian v. USCIS (2010). As developers, we naturally think about how to model these kinds of structured evaluation frameworks programmatically. In this post, I will walk through how we approached building an AI-powered assessment engine in TypeScript that helps professionals understand where they stand on these criteria. Disclaimer : This tool does not provide legal advice. It is an educational self-assessment tool. Always consult a qualified immigration attorney for legal guidance. Data Modeling: EB-1A Criteria as TypeScript Types The first step was defining a clean type system for the 10 USCIS criteria: interface EB1ACr