Syntracts, an emerging powerhouse in legal infrastructure technology, has secured $5.3 million in Seed funding to unlock the value hidden within enterprise contracts. The round was led by Hyperplane, with participation from Khosla Ventures, Top Harvest Capital, Fortitude Ventures, Myriad Venture Partners, and Point72 Ventures, signaling strong investor conviction in Syntracts’ mission to transform how institutions handle their legal knowledge.

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Unlocking Institutional Intelligence from Contracts

Founded by Douglas Bemis and Christopher Martin, Syntracts is on a mission to redefine what legal data means to organizations. The company provides a secure AI-driven infrastructure layer that allows enterprises to store, query, and automate contract data - turning what used to be static, unreadable PDFs into living, searchable intelligence.

At its core, Syntracts isn’t a contract analysis tool. It’s an entire operating system for institutional knowledge - built for law firms, financial institutions, and global corporations that need to manage massive volumes of agreements with precision and security. Using advanced retrieval-augmented generation (RAG) and proprietary legal language models, Syntracts helps organizations ask natural language questions like:

“Which of our vendor contracts include data localization clauses?”
or
“How many NDAs expire within the next 90 days?”

And the platform answers instantly - accurately, contextually, and securely.

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The Legal AI Market: A Sleeping Giant Awakened

The legal sector, traditionally resistant to change, is now undergoing an irreversible digital transformation. According to McKinsey, nearly 23% of a lawyer’s tasks can already be automated with AI, potentially saving billions in billable hours annually. Meanwhile, Gartner projects that by 2027, 80% of corporate legal departments will adopt AI-based tools for contract management, compliance, and risk monitoring.

The numbers back it up. The global legal technology market, valued at around $29 billion in 2025, is expected to soar to $45 billion by 2030 (CAGR ≈ 9.5%). Within that, the contract analytics segment - where Syntracts operates - is predicted to grow from $2.5 billion in 2024 to $7.2 billion by 2032, driven by automation, data compliance, and cross-border regulation pressures.

But Syntracts isn’t just another SaaS tool in this space - it’s redefining how legal data infrastructure itself should be built.

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From Documents to Data Infrastructure

Traditional contract management tools focus on storage and search. Syntracts focuses on transformation. It converts unstructured legal text into structured, queryable data - enabling AI models, compliance systems, and analytics tools to access legal knowledge seamlessly.

For law firms and corporations, this means:

• Automated obligation tracking across thousands of contracts.
  
• Real-time compliance alerts for clause deviations or renewals.
  
• Cross-platform interoperability, allowing data to flow between CRM, ERP, and AI systems.
  
• Enterprise-grade encryption ensures sensitive data remains secure and localized.
  

By treating contracts as data infrastructure rather than documents, Syntracts is effectively creating the “Snowflake for legal” - a cloud-native foundation on which the next generation of legal AI products can be built.

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The Infrastructure Mindset Every Founder Should Master

Here’s where Syntracts’ story becomes a lesson for every founder.

Most startups try to disrupt industries by building on top of what already exists. But the real breakthroughs come from rethinking the foundation itself. Syntracts didn’t start by asking, “How do we make contract review faster?” They asked, “Why are contracts still trapped in text?”

That question led them to a universal truth: in legacy industries, data access - not AI - is the real bottleneck.

This is a principle every founder in the AI age should internalize: AI doesn’t create value until data becomes infrastructure.

The startups that will dominate the next decade won’t just automate - they’ll liberate. They’ll unlock previously inaccessible information layers, reformatting them into usable, searchable, and collaborative systems.

It’s the same playbook used by industry-defining companies:

• Plaid turned banking data into an API.
  
• Snowflake made enterprise data cloud-native.
  
• Databricks unified analytics under one infrastructure.
  

Syntracts is doing the same for the legal world - turning documents into data and data into decision-making.

For founders, the takeaway is simple but profound: build infrastructure that others can build on. That’s how you outlast trends, outgrow markets, and become the company every other startup depends on.

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Strategic Backing from DeepTech and AI Veterans

With backing from Hyperplane and Khosla Ventures, Syntracts joins an elite league of early-stage DeepTech ventures aiming to redefine legacy industries through infrastructure. Top Harvest Capital, Fortitude Ventures, Myriad Venture Partners, and Point72 Ventures bring strategic strength in AI deployment, enterprise scaling, and compliance-heavy sectors like finance and law.

The funding will allow Syntracts to scale its engineering team, expand integrations with enterprise software ecosystems, and deepen its work with global law firms and in-house legal teams building AI-first operations.

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The Broader Outlook: Legal AI as the Next Institutional Platform

The shift toward data-driven legal operations is accelerating fast. PwC reports that AI and automation could reduce legal research and review time by up to 50%. Meanwhile, IDC predicts that enterprise spending on AI-enabled compliance and governance tools will hit $84 billion by 2028.

By turning contracts into a strategic data layer, Syntracts is positioning itself to become the infrastructure behind this transformation. The company’s approach doesn’t just improve efficiency - it redefines how organizations perceive and utilize their institutional memory.

As legal, financial, and corporate frameworks continue converging around AI, Syntracts offers something indispensable: a foundation that makes legal knowledge as dynamic and actionable as the businesses it governs.

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