LegalOS
ActiveThe AI-Native Immigration Law Firm
About
LegalOS is an AI-native immigration law firm that combines cutting-edge technology with 40+ years of legal expertise. We’ve studied 12,000 successful petitions to design our process - which allows us to deliver top-quality visa applications in as quickly as 48 hours. Our specialized AI agents draft petition narratives, compile evidence, and anticipate USCIS objections - work that traditionally takes attorneys weeks, if not months. Every case is reviewed and signed by licensed immigration attorneys with 40+ years of experience, so companies get both speed and reliability. We support O-1, H-1B, L-1A, L-1B, TN, EB-1A, EB-1C, and EB-2 NIW petitions. Our unique approach works. We’ve filed dozens of visa applications and have a 100% approval rate so far. The U.S. processes 1M+ work visas annually—a market where incumbents still operate on fax machines, email, and 1990s case management software. We're building the modern immigration law firm.
Founders · 3
Matthew is the co-founder and CEO of LegalOS. He previously founded the immigration SaaS Legal Bullet (Forbes 30 Under 30), and studied Astrophysics at the University of Chicago. Like his sister Rachel (COO), he grew up working in his family’s U.S. immigration law firm and now leads product and AI at LegalOS, turning 40+ years of immigration case data into automated, high-approval work-visa petitions.
Rachel is the co-founder and COO of LegalOS. She double majored in Economics & Media Studies at the University of Chicago and previously managed 20+ A-list client deals at United Talent Agency, driving over $10M in tour revenue. She co-founded a charity that raised $70K for youth programs and grew up around her family’s U.S. immigration law firm. At LegalOS she owns operations and customer experience for companies and candidates using the platform.
Claire is the co-founder and CTO of LegalOS. At LegalOS she leads engineering and AI, building the agents that power automated work-visa petitions. She has an MS and BS in Computer Science from USC. She previously shipped LLM safety pipelines at TikTok that flag thousands of high-risk accounts daily, built document-classification models at Notarize and worked at NASA JPL on the Mars Exploration team. USC School of Engineering Outstanding Student Award recipient.
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