Manifest OS
Manifest OS provides infrastructure and AI software for AI-native law firms.
Founded
2024Manifest OS provides infrastructure and AI software for AI-native law firms.
Manifest OS is a legal technology company founded in 2024 that provides infrastructure and AI software for affiliated law firms. The company was founded by CEO Dan Mishin, who previously founded June Homes and Bear Hostels.
The company operates under the Manifest Law brand for its first AI-native law firm in Arizona, which focuses on immigration law. The platform has served over 3,000 client engagements and works with more than 100 attorneys. The company raised a $60 million Series A at a $750 million valuation in April 2026, led by Menlo Ventures, Kleiner Perkins, First Round Capital, and Quiet Capital.
Manifest OS differentiates itself through a full-stack approach to legal technology. Unlike standalone AI tools that sell to existing law firms, Manifest OS partners with lawyers to build AI-native firms from the ground up. The platform includes an AI-powered case management system, AI drafting assistant trained on immigration law workflows, centralized back-office operations for paralegals and admins, and a unified brand that signals quality and transparency to clients.
The company operates under an outcome-based fixed pricing model rather than the traditional billable hour, which aligns incentives between lawyers and clients. All AI-generated documents undergo multiple rounds of attorney review and final sign-off before reaching clients, ensuring accuracy while reducing preparation time.
Manifest OS-powered law firms operate on fixed-fee and outcomes-based pricing models rather than traditional hourly billing. The company provides pricing recommendations based on market analysis to affiliated firms.
Corporate immigration services include flat-rate packages for H-1B visas, PERM applications, and EB-1A petitions. Individual immigration services offer transparent pricing for family-based green cards, employment-based visas, and naturalization applications. Pricing is designed to be predictable and aligned with client outcomes rather than time spent on cases.