ABOUT REGUMINT
Built on a simple conviction: legal AI must be accountable.
Regumint was built from a product and systems-thinking perspective, after repeatedly encountering how opaque and inaccessible legal analysis is for the people who must work with it.
// Founder
Marylin Montoya
Founder & CEO
AI optimizes for plausibility. Legal practice requires defensibility. Closing that gap requires purpose-built infrastructure, not better prompts.
LinkedInFROM THE FOUNDER
I founded Regumint from a product and systems-thinking perspective. The insight was simple: AI optimizes for plausibility. Legal practice requires defensibility. In heavily regulated practice, starting with EU regulatory complexity where it’s most structural, that gap is even wider. Closing it requires purpose-built infrastructure, not better prompts.
Marylin Montoya · Founder & CEO
WHAT WE BUILT
Regumint is an agentic legal AI system organized around three commitments: it is built for heavily regulated practice, where the research is the product. It verifies its own outputs. And it delivers finished work product, not chat responses. Authority-ranked retrieval. Dual-track LLMs. Every output verified, every claim traced to its source, every gap surfaced explicitly.
The goal is not plausible answers. The goal is defensible answers.
Authority-ranked
Every source classified by legal hierarchy. Binding sources outrank guidance and commentary.
Jurisdiction-aware
Analysis grounded in the jurisdictions that actually apply to the question.
Fully traceable
Every claim linked to its source fragment. Uncertainty surfaced explicitly, never hidden.