ABOUT
Too much knowledge was getting lost. We decided to fix that.
Deepmatter is the memory layer for legal AI, built by two founders with a combined decade of building and selling AI products to lawyers. It remembers the live matters, briefs whichever AI the lawyer uses, and holds on to what the firm learns along the way.
We are building it for the lawyer first. The firm's memory grows out of the matters its lawyers work.
FOUNDERS
Two founders who have built and sold AI to lawyers before.
Jason Schachter
Co-founder and CEO
Jason has spent his career closing the gap between what lawyers need and what software gives them. A Harvard Law School graduate, he practiced finance law at Davis Polk & Wardwell before learning to code and moving into legal technology. He was VP of Strategy and Operations at eBrevia, a machine learning contract review company, leading initiatives across sales, customers, and product. As Chief Strategy Officer at Coheso, an early-stage legal AI startup, he helped take the product to MVP and secure its first enterprise customers. He co-founded Deepmatter, the memory layer for legal AI, and is at home on both the product and the commercial side.
Chirag Mehta
Co-founder and Founding Engineer
Chirag builds AI products that hold up at scale. A software developer by training, he went deep on AI at Carnegie Mellon, where he earned an MS in AI and Innovation. At HP, he led a team that scaled AI language models to serve 30 million customer support interactions across all major languages. His first legal AI company was Coheso, a venture-backed startup he co-founded and where he was Head of Product, building the core product and leading software development. He co-founded Deepmatter, his second legal AI company, where he is building the memory layer for legal AI.
WHY WE ARE BUILDING IT