Service of process marketplace connecting law firms with process servers nationwide
Proof operates a two-sided marketplace linking law firms to independent process servers across the US and internationally, with live tracking and notarized proof of service. The tech stack—Go, GraphQL, React, PostgreSQL, PostGIS—reflects a geolocation-heavy backend (PostGIS for mapping verification), while active adoption of AI integration and a product-heavy hiring mix (13 of 21 roles) signal a shift toward workflow automation and embedded intelligence rather than pure marketplace infrastructure.
Proof is a legal technology company founded in 2017 that operates a digital marketplace for service of process. Law firms create electronic serve requests through the platform, receive real-time updates on server location and attempt details, and obtain time-stamped, notarized proof of service completion. The platform offers 1-, 3-, and 7-day service options across the US and internationally. The company serves mid-market law firms and operates from Denver, Colorado with a 201–500-person team. Tech stack spans Go, GraphQL, React, and PostgreSQL on cloud infrastructure (AWS, GCP, Azure), integrated with legal-workflow tools including Filevine and Clio.
Proof uses Go, GraphQL, React, TypeScript, and PostgreSQL on AWS, GCP, and Azure. PostGIS handles geolocation-based mapping of server verification. Legal integrations include Filevine, Clio, and Salesforce CRM.
Focus areas include AI integration for legal workflows, enterprise integrations, address intelligence, design system evolution, and customer workflow redesign. Backend optimization (scaling database performance and reducing bottlenecks) is also a priority.
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Proof's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.