See Syntracts in action at LegalWeek · Booth 700 · March 9–12 · Javits Center, NY

About Us

Informed by Leading Contract Technology. Built by AI Experts.

Syntracts is a team of machine learning researchers and legal industry veterans building contract intelligence infrastructure that’s precise, private, and verifiable.

Why We Built Syntracts

Contract AI Has a Trust Problem. We Built the Solution.

Generative AI promised to transform how teams analyzing contracts work. But cloud-hosted LLMs can’t meet enterprise security standards, prompt-based tools break down at scale, and accuracy is never reliable enough to trust without extensive manual review.


Syntracts was built to close that gap.


We combine deep domain expertise with a fundamentally different approach to AI. The result is a platform that’s accurate, private, on-premise, and gets smarter about your contracts with every interaction.

Generative AI promised to transform how contract teams work. But cloud-hosted LLMs can’t meet enterprise security standards, prompt-based tools break down at scale, and accuracy is never reliable enough to trust without extensive manual review.


Syntracts was built to close that gap.


We combine deep domain expertise with a fundamentally different approach to AI. The result is a platform that’s accurate, private, on-premise, and gets smarter with every interaction.

What Makes Syntracts Different

Contract AI You Can Actually Verify

We don’t use generic LLMs or prompt engineering. Syntracts runs an orchestration of small, specialized models trained on each client’s own documents. Every answer is verifiable. Every piece of data stays on-premise.

We don’t use generic LLMs or prompt engineering. Syntracts runs an orchestration of small, specialized models trained on each client’s own documents. Every answer is verifiable. Every piece of data stays on-premise.

95%+ extraction accuracy across complex contracts

80%+ reduction in review time

Fully on-premise: your data never leaves your environment

API-first integration with the tools you already use

Gets smarter with every interaction. No prompt engineering required

Meet The Founders

Douglas Bemis

Co-Founder & CEO

PhD in Computational Neurolinguistics from NYU. Co-founded Geometric Intelligence (acquired by Uber to form Uber AI Labs). 15+ years in ML and NLP.

Christopher Martin

Co-Founder & President

M&A attorney turned legal technologist. Led the Emerging Technology Team at Latham & Watkins. JD from GW Law, BA from Columbia.

Our Mission

Instant, Complete Understanding of Any Contract

Were building the secure AI backbone for contract management  infrastructure that helps teams unlock the full value of their contract data safely, reliably, and at scale. You shouldnt have to choose between privacy and performance. Were making sure you dont.  

Were building the secure AI backbone for contract management  infrastructure that helps teams unlock the full value of their contract data safely, reliably, and at scale. You shouldnt have to choose between privacy and performance. Were making sure you dont.  

Accuracy Model

Trusted by Leading Firms. Backed by World-Class Investors.

Trusted by Leading Firms. Backed by World-Class Investors.

We’re still early, but the traction speaks for itself:

We’re still early, but the traction speaks for itself:

Multi-year enterprise partnership with an AmLaw 25 firm for firm-wide deployment

Selected for A&O Shearman’s Fuse Incubator

$5.3M seed round led by Hyperplane, with participation from Khosla Ventures, Point72 Ventures, Myriad Venture Partners, Harvest Capital, and Fortitude Ventures

Ready to See What’s in Your Contracts?

Learn how Syntracts can transform your contract portfolio into structured, searchable intelligence without compromising on privacy or accuracy.

Ready to See What’s in Your Contracts?

Learn how Syntracts can transform your contract portfolio into structured, searchable intelligence without compromising on privacy or accuracy.

Ready to See What’s in Your Contracts?

Learn how Syntracts can transform your contract portfolio into structured, searchable intelligence without compromising on privacy or accuracy.