Built by legal technologists who understand the pain of contract review.
Contracts are the foundation of every business relationship, yet reviewing them has remained slow, manual, and expensive for decades. Clausal AI changes that.
We built a platform that gives in-house legal teams the analytical power of a large law firm—without the headcount or the billable hours. Our AI understands contract language at a structural level, not just as text to search through.
Founded in 2024 and backed by KnownWeil Capital with a $3.2M Seed Round in March 2025, we’re building the future of legal operations from Austin, Texas.
Legal errors have real consequences. We optimize for precision before speed, and we show our work so teams can verify.
We build for how lawyers actually work—not how engineers think they work. Every feature starts with a legal workflow.
Client contracts are some of the most sensitive documents in business. Our architecture treats security as a core requirement, not a feature.
We believe legal professionals need to understand why the AI flagged something. Explainability is built into every recommendation.
Clausal AI is led by a team with deep roots in legal technology, machine learning, and product development.
CEO & Co-Founder
Former corporate attorney turned technologist. Daniel spent eight years at Latham & Watkins before founding two legal-tech startups. He brings deep domain expertise and a relentless focus on the attorney experience.
CTO & Co-Founder
ML engineering leader with a background in NLP and information extraction. Previously led AI infrastructure at a Fortune 500 legal technology firm. Marcus designed Clausal AI’s proprietary contract language model from the ground up.
VP Product
Product leader with a decade of experience shipping enterprise software for legal and compliance teams. Sarah translates complex attorney workflows into intuitive product experiences that legal ops teams love.
We closed our $3.2M Seed Round in March 2025, led by KnownWeil Capital, one of the leading early-stage funds focused on enterprise legal technology.
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