About Naopay
Transforming legal document workflows with AI-powered solutions.
Our Mission
At Naopay, our mission is to simplify legal workflows through innovative AI technology. We believe that legal professionals should spend their valuable time on strategic work, not repetitive document creation.
By harnessing the power of GPT-4, we're revolutionizing how contracts are generated, reviewed, and managed. Our platform empowers attorneys and small B2B firms to work more efficiently while maintaining the highest standards of legal precision.
Our Story
Naopay was founded in 2022 by a team of legal professionals and AI engineers who recognized a critical gap in the legal tech market. After years of witnessing the inefficiencies of traditional contract generation, our founders set out to create a solution that would transform the industry.
What began as a small project to automate NDAs quickly evolved into a comprehensive platform for legal document automation. Today, Naopay serves hundreds of legal professionals across the country, helping them save thousands of hours on contract generation and management.
Our team combines deep legal expertise with cutting-edge AI knowledge, ensuring that our platform delivers not just efficiency, but accuracy and compliance that legal professionals can trust.
Our Values
The principles that guide everything we do.
Trust
We build products that legal professionals can rely on for accuracy and compliance.
Innovation
We continuously push the boundaries of what's possible with AI in legal tech.
Security
We prioritize the protection of sensitive legal data with military-grade encryption.
Meet Our Team
The experts behind Naopay's innovation.
Sky Kim
Ops & Infra | Co-founder
Helping simplify legal contract workflows with AI-driven systems. Previously @Ironclad, now building the backend of tomorrow. Former Infrastructure Lead at Ironclad and Data Analyst at Palantir.
B.S. Applied Mathematics & Public Policy – University of Washington
Mira El-Amin
Legal Ops | JD | AI Compliance
Former litigator turned legal designer. Helping align AI output with legal best practices. Previously an Associate at Debevoise & Plimpton LLP.
JD – Stanford Law School, B.A. Political Science – University of Chicago
Eliot Kashimoto
LLM Systems Architect | Ex-OpenAI
I build the scaffolding behind the models. Architecting low-hallucination GPT workflows for legal-grade AI. Former Researcher at OpenAI and ML Consultant at Anthropic.
(withdrew) PhD in Media Theory + AI – MIT Media Lab, B.S. Symbolic Systems – Stanford University