Vulcan Technologies, a fast-rising startup founded by Tanner Jones, Aleksander Mekhanik, and Chris Minge, is reimagining how governments and industries navigate the dense web of U.S. laws, regulations, and court cases. The three founders—Chris, who left Google’s ML infrastructure team; Tanner, who turned down Harvard Law; and Aleksander, who dropped out of Dartmouth—launched Vulcan with the conviction that artificial intelligence could streamline regulatory processes and strengthen democratic institutions. Within just two months, the Governor of Virginia signed an executive order requiring all state agencies to adopt their platform.
At the core of Vulcan’s innovation is what it calls AI legal cartography: intelligent maps of the entire American legal system. Their platform connects statutes, regulations, and case law into a knowledge graph that enables governments and businesses to draft, review, and comply with regulations instantly. “We replace expensive consultants and slow bureaucratic processes with AI tools that empower elected officials to actualize the public will and interest,” the company explains.
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The scale of the problem is enormous. By some estimates, regulatory compliance costs the U.S. economy $4 trillion annually. Agencies currently rely on years of iterative review with lawyers and consultants to ensure new rules align with existing law, a process that drains taxpayer dollars and stalls policy implementation. Vulcan’s system cuts through this by automatically redlining proposed regulations, drafting legislative language, responding to public comments, and highlighting compliance violations while suggesting lawful alternatives.
This approach has already attracted significant traction. In addition to Virginia’s statewide adoption, Vulcan is working with the U.S. Department of Education and South Carolina on regulatory reform initiatives. The company also acquired RegsBot, one of its leading competitors, and has assembled an advisory board that includes a Stanford Hoover Institute economist with two decades of regulatory research and a top law school JD with White House experience.
Their success has not gone unnoticed. “We beat established consulting firms like Deloitte by demonstrating superior AI capabilities at a fraction of the cost,” the company notes. Governor Glenn Youngkin’s executive order formally embedded Vulcan’s “AI agentic regulatory review” into Virginia’s processes, making the state the first in the nation to institutionalize agentic AI in regulation.
The founders bring a diverse mix of backgrounds. Jones, who declined admission to Harvard Law, previously directed technology and regulatory policy at the Cicero Institute and worked on AI and regulatory policy across 30 states. Mekhanik, a Dartmouth math prodigy and chess champion, focused on machine learning before co-founding Vulcan. Minge, who studied computer science and philosophy at Princeton, worked on ML infrastructure at Google for projects like Gemini and Waymo before pivoting to regulatory reform.
Backed by Y Combinator, Vulcan describes its mission as building a humanist future in AI, one where the technology empowers elected officials rather than entrenches bureaucratic inefficiencies. “As AI gets better, our Republic should get better too,” the team asserts.
By mapping the entirety of American law and automating its navigation, Vulcan aims not only to reduce costs and accelerate governance but also to ensure that the public will, as expressed through laws and executive orders, is actually implemented.