Identify if a document is an nda using AI

Below is a free classifier to identify if a document is an nda. Just upload your image, and our AI will predict if the document is an NDA - in just seconds.

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-a-document-is-an-nda", "your_image_url", credentials)


fetch('https://www.nyckel.com/v1/functions/if-a-document-is-an-nda/invoke', {
    method: 'POST',
    headers: {
        'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
        'Content-Type': 'application/json',
    },
    body: JSON.stringify(
        {"data": "your_image_url"}
    )
})
.then(response => response.json())
.then(data => console.log(data));


curl -X POST \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer YOUR_BEARER_TOKEN" \
    -d '{"data": "your_image_url"}' \
    https://www.nyckel.com/v1/functions/if-a-document-is-an-nda/invoke

How this classifier works

To start, upload your image. Our AI tool will then predict if the document is an NDA.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Non Disclosure Agreement and Not Non Disclosure Agreement.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the document is an NDA).

Whether you're just curious or building if a document is an nda detection into your application, we hope our classifier proves helpful.

Need to identify if a document is an nda at scale?

Get API or Zapier access to this classifier for free. It's perfect for:

Contract Management Automation: This function can streamline the contract management process by automatically identifying and sorting NDAs from other documents. Organizations can efficiently manage sensitive agreements, ensuring that important contracts are easily accessible and reducing manual sorting time.

Compliance Monitoring: Regulatory and legal teams can use this identifier to ensure compliance with company policies and legal requirements. By automatically flagging NDAs, the organization can maintain an accurate and compliant records system, minimizing the risk of legal exposure.

Data Security Enhancement: The function can assist in identifying NDAs that contain sensitive information, allowing companies to strengthen their data security measures. By isolating these documents, organizations can implement stricter access controls and encryption protocols for sensitive agreements.

Research and Development Protection: Companies involved in R&D can use this identifier to quickly locate NDAs that protect intellectual property and proprietary information. This helps ensure that key agreements are appropriately managed and safeguarded during collaborative projects.

Vendor Management Optimization: Organizations can use this classification function to maintain an organized database of NDAs with vendors or partners. By identifying all relevant NDAs, businesses can better assess relationships, renew contracts, and avoid any lapses in confidentiality.

Litigation Preparedness: Legal teams can leverage this function to quickly gather all NDAs when preparing for potential litigation related to confidentiality breaches. By having all related documents readily accessible, legal teams can respond swiftly and efficiently to protect their interests.

Audit Facilitation: During internal or external audits, identifying NDAs can simplify the review process. Organizations can ensure that all confidentiality agreements are accounted for and validated, making audits smoother and more efficient, while reducing the risk of oversight.