Focused workflowUpdated Aug 14, 2026

Redact vendor evaluations before AI analysis.

Select the evaluation locally, review vendor identifiers and pricing references, replace accepted values, verify the export, then compare the anonymized copies with AI.

Local-first Reviewable Verified export

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A local corporate document review workspace before AI analysis
Original stays on this device
For procurement teams and operations managers comparing vendors with AI.

Why this workflow matters

Keep the useful context. Remove the unnecessary identity.

Vendor evaluations contain names, pricing and commercial judgments. AI comparison needs the scores and criteria, not the identities. AnonymizeDocs prepares reviewed copies 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 document locally

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

02

Review names and identifiers

Check vendor names, pricing and contact references before anything changes.

03

Keep the content readable

Scores, criteria and dates remain visible while identity-bearing values become placeholders.

04

Verify and export

Recheck the output, download the anonymized 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.

Vendor and reviewer names Pricing and discount references Emails, phones and addresses Custom values you add for a specific evaluation

Privacy boundary

What stays on your device.

  • The original document 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.

Commercial judgments are sensitive; redaction is a preparation step and does not replace procurement policies.

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 summarize a vendor evaluation without company names?

Yes. Company and individual identifiers are replaced with placeholders while terms, dates and numbers remain.

Should commercial references stay visible?

Commercial references are detected as findings; replace them when the AI task does not need the figures.

Is this suitable for corporate records?

Yes, for preparing reviewed copies; final governance and legal review stays with your team.

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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