Focused workflowUpdated Aug 14, 2026

Redact an NDA before asking AI to review it.

Open the NDA in your browser, review the parties and confidential-information references, replace accepted values with placeholders, verify the export, then share only the anonymized copy with AI.

Local-first Reviewable Verified export

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A local NDA review workspace for preparing a confidentiality agreement before AI analysis
Original stays on this device
For founders, legal ops, freelancers and small businesses who review NDAs with AI.

Why this workflow matters

Keep the useful context. Remove the unnecessary identity.

An NDA names the parties and the confidential information that defines the deal. AI can help compare versions or explain clauses, but it rarely needs the real party names. AnonymizeDocs prepares a reviewed copy locally.

The goal is a working copy that still makes sense to an AI tool: relationships stay consistent, while accepted names, contacts, addresses and document-specific identifiers become controlled replacements.

A practical sequence

From original file to AI-ready copy.

Four checkpoints
01

Select the NDA locally

Choose the PDF or DOCX from your device. The file stays in the browser.

02

Review parties and identifiers

Check company and individual names, addresses, emails and registration numbers before replacement.

03

Keep clauses and dates readable

Obligations, term, governing law and effective dates remain visible while identities become placeholders.

04

Verify and export

Recheck the output, download the reviewed copy, then use it with the AI tool.

Document-specific review

What gets checked before export?

The detector suggests candidates; you decide what changes. For this workflow, start with the fields below and add custom findings when the document contains a unique name, project, matter or identifier.

Party names and roles (Discloser, Recipient) Addresses, registration numbers and emails Confidential-information references that identify people Custom values you add for a specific NDA

Privacy boundary

What stays on your device.

  • The original NDA is not uploaded to AnonymizeDocs.
  • Extracted text, findings and replacements remain in the browser session.
  • Account and purchase data are separate from document content.

Human checkpoint

What still needs your judgment.

No detector can guarantee every identifier is found; redaction is a preparation step, not legal advice or a compliance certification.

A verified export confirms accepted values were handled. It does not promise that an automated detector found every sensitive detail.

Illustrative before-and-after document preparation workflow

What a useful output looks like

Readable enough for analysis. Safer to share.

Stable placeholders let the AI distinguish one party from another without receiving the original names. Keep the clauses, dates and relationships the task needs; replace the details that identify the people, companies or matter.

Original identity-bearing valuesReview accept, ignore or editOutput reviewed placeholders or permanent redaction mode

Before you share the copy

Questions people ask about this workflow.

Can AI compare two NDA versions without party names?

Yes. Replace identities with consistent placeholders first; clause differences remain comparable in the anonymized copies.

Will the NDA still be enforceable-looking after redaction?

Redaction preserves the structure and clauses. Final legal review and execution stay with the parties.

Are scanned NDAs handled?

Scanned pages use local OCR on your device, but they need the same careful review as text.

Continue with the right depth

Related workflows and guidance.

Local document workspace

Review your next file in the browser.

Keep the original local, make the decisions yourself, and export a copy you can inspect.

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