PALO ALTO, Calif., September 9, 2026 — Your most important documents are often the hardest to analyze at scale.

Contracts, regulatory filings, compliance policies, and cross-border agreements that define risk, revenue, and obligation: together, these assets contain the knowledge of what an organization is today and what requirements it has tomorrow. Yet most of that knowledge is locked inside unstructured PDFs and scanned documents, where portfolio-wide visibility is hard and real-time insight is nearly impossible.

Eudia is the augmented intelligence platform for legal, contracting, and compliance work across the enterprise, transforming legal knowledge and institutional judgment into trusted AI while maintaining the governance and human oversight that regulated enterprises require. Eudia embeds directly in the workflows where that work happens — contracting, compliance, litigation, M&A, and legal research — and is trusted by legal and procurement teams at the world's largest organizations, including Cargill, Toshiba, Ecolab, Bayer, and the U.S. Air Force. Across every one of those workflows, the work is only as good as the system's ability to read a document accurately and stand behind what it found.

Nowhere is that clearer than in compliance review. A compliance team may scrutinize thousands of contracts, filings, and marketing materials for risk, and a single missed line or misread table can mean a missed obligation. As AI moves deeper into compliance review, the new bar is that answers must be not only intelligent, but fully auditable. It isn't enough to extract the right text; a compliance-grade system has to read a page the way a reviewer does, grasping both the macro layout and the micro detail, down to dense tables, fine print, and visual signals like highlighting or markup that a text-only pass would miss. Only then can it point back to exactly where each finding came from on the original page. Generic OCR and single-pass extraction were never designed for that kind of structural fidelity and traceability.

That's why Eudia incorporated NVIDIA Nemotron Parse, an open model, to handle the critical first step of detecting the structure of each page.

Structure First, So Nothing Gets Lost

The hardest content to capture is the content that's buried: dense tables, or fine print embedded inside an image, where a single general-purpose pass tends to miss it. Nemotron Parse solves the critical first step. It reads each page and maps its structure by identifying every region, labeling it by object type, and returning a bounding box for each.

With that structural map, Eudia extracts each element with the fidelity its content demands, so the details that used to slip through are captured and assembled into a clean, structured version of the document. Two properties of Nemotron Parse make this practical at enterprise scale:

• It's dramatically more efficient. In Eudia's internal evaluations, Nemotron Parse ran 7x faster and 9x cheaper per page at scale than the leading frontier model for this application, at comparable layout quality.
  
  

• It's open, so customers control where their AI runs. Because Nemotron Parse is open, Eudia isn't locked into a single vendor's API. It can run the model in its own environment, in a customer's preferred cloud, or inside a private or air-gapped deployment for the most sensitive matters. For enterprise and government teams who answer to strict data-residency, confidentiality, and regulatory requirements, that deployment flexibility is often as important as the output itself. It also lets Eudia tune and scale the model for legal-specific documents on its own terms.
  
  

Why This Matters: Citations You Can Trust

The payoff of structure-first extraction is grounding. Because every extracted element carries a bounding box tied to its exact coordinates on the source page, Eudia can take a user straight to the precise spot in the original document rather than a processed version of the document, which loses structural integrity.

In Eudia's Compliance product, that's tangible. When a reviewer clicks a flagged risk, they jump directly to the exact location on the page where it appears. And because the pipeline extracts content from inside embedded images, text that single-pass approaches routinely missed, teams surface risks that would previously have slipped through entirely.

A Collaboration Built on Real-World Legal Use Cases

Adopting an open model isn't the end of the story; it's the start of a feedback loop. Legal documents stress-test a parsing model in ways general benchmarks rarely capture: multi-jurisdictional filings, dense regulatory forms, contracts with deeply nested structure. Eudia shares real-world evaluation data and feedback from these workflows with NVIDIA. It's a loop that makes the models sharper exactly where it matters, on the complex, high-stakes documents that enterprise and government teams work with every day.

A Foundation for the Agentic Legal Workflow

Document intelligence isn't an end in itself, it's the foundation for everything above it. When documents are reliably parsed, typed, and grounded, AI agents can reason over them: surface the relevant clause, track an obligation, flag a risk, and cite their work back to the source. The quality and traceability of the extraction sets the ceiling for every workflow built on top of it.

As legal work grows more complex and more global, the infrastructure beneath it has to keep pace. With an open-weight NVIDIA model providing the structural backbone and Eudia turning that structure into governed, auditable intelligence, enterprise legal and compliance teams get a foundation that is fast, flexible, and built to scale.

Get Started

Eudia is deploying its Nemotron-powered document extraction pipeline as part of its enterprise intelligence platform. To learn more about how Eudia helps Fortune 500 legal, procurement, and compliance teams work smarter, visit eudia.com.

To explore NVIDIA Nemotron models for your own document intelligence pipelines, visit the NVIDIA Nemotron developer page.

ABOUT EUDIA

Eudia is the augmented intelligence platform for legal, contracting, and compliance work across the enterprise. Eudia transforms legal knowledge and institutional judgment into trusted AI that scales expert decision-making across the enterprise, all while maintaining the governance and human oversight that regulated enterprises require. Eudia is trusted by legal and procurement teams at the world's largest organizations, including Cargill, Toshiba, Ecolab, Bayer, and the U.S. Air Force, and partners with the world's leading AI labs and enterprise software platforms. Eudia has raised over $100 million from investors including General Catalyst, Floodgate, and Sierra Ventures. Learn more at www.eudia.com.

Media Contact

Ilya Gaidarov, Product Marketing Lead

press@eudia.com