How to Integrate AI Redaction into Your Document Workflow

Swapping manual redaction for AI-assisted redaction is not just a tool change — it changes the shape of your workflow. Manual redaction is sequential and person-dependent: someone receives a document, reviews it page by page, applies redactions, and passes it on. AI redaction is parallel and rule-based: you configure once, submit in bulk, review exceptions, and distribute.

That shift in structure is where most of the time savings come from. It also introduces new responsibilities: configuring detection rules accurately, maintaining a meaningful human review step, and connecting the tool to your existing document management systems. This guide walks through each stage.

Stage 1: Map Your Document Types and Sensitive Data

Before configuring any tool, catalogue what you actually process. Different document types contain different PII, and detection rules should reflect that.

Create a simple inventory:

| Document type | PII categories present | Volume per month | |---|---|---| | Employment contracts | Person, Email, PhoneNumber, Address | ~40 | | Medical referral forms | Person, Date, Address, PhoneNumber | ~200 | | Financial statements | IBAN, CreditCard, Person, Address | ~60 | | Client correspondence | Person, Email, PhoneNumber, Organization | ~150 |

This inventory does two things: it tells you which PII detection categories to enable for each document type, and it identifies where the highest volumes are — which helps you prioritize batch processing over manual uploads.

Redact PDF AI detects eight categories: Person, Email, PhoneNumber, Address, Organization, Date, IBAN, and CreditCard. You configure which categories apply per upload, so a financial statement run enables IBAN and CreditCard while a correspondence run might skip those and focus on Person and Email.

Stage 2: Configure Detection Rules and Exclusions

Once you know what needs redacting, configure the detection settings before processing live documents.

Category selection: Enable only the categories relevant to each document type. Enabling all categories on every document creates unnecessary redactions — an Organization flag on a legal brief will catch legitimate party names that should remain visible.

Excluded terms: This is the most overlooked configuration step and the one that most affects redaction quality. Add any values that match a detection pattern but should never be redacted:

Your organization's name (matches Organization)
Known public figures referenced in your documents (matches Person)
Recurring reference dates that are not personal dates (matches Date)
Public institution names (matches Organization)

Taking 10 minutes to build your exclusions list before a batch run saves significant time in the review step.

Saved defaults: Business and Enterprise teams can save default category configurations so every new upload starts with the right settings. This removes per-upload configuration burden from individual team members and ensures consistency.

Stage 3: Choose the Right Upload Method

Single-file upload

Appropriate for occasional documents or when a specific file requires careful individual attention. Upload the PDF, JPG, or PNG directly through the interface, configure categories, review in the Studio editor, and download.

Batch upload

For any repeating workflow involving multiple files, batch upload is the correct approach. Upload an entire folder, apply one set of detection rules across all files, and download a ZIP of the redacted outputs. This is the primary path for teams processing monthly document sets, discovery requests, or recurring compliance exports.

REST API

For workflows where redaction is one step in a larger automated pipeline, the REST API provides full programmatic control:

POST /v1/jobs to submit a batch job with per-job PII controls
Job statuses: uploaded → analyzing → redacted / error
Retention modes configurable per job (ephemeral deletes originals after processing; studio retains originals and masks for review)
Auth via X-API-Key header (server-side only — never expose this in client-side code)
X-Idempotency-Key for safe retries
Webhooks for job completion notifications
Handle 402 as quota exceeded (review your pricing plan), 429 as rate-limit (use exponential backoff)
Downloadable OpenAPI spec for integration documentation

The API is appropriate when redaction needs to happen automatically on document ingest, or when the output feeds directly into a document management system without human intervention at the submission stage.

Stage 4: Establish the Human Review Step

AI detection is highly accurate, but no automated system handles every edge case correctly. A well-designed workflow preserves human judgment for the cases that need it.

The Studio editor in Redact PDF AI is built for this:

Every proposed redaction is shown before it is applied
Reviewers can accept or reject individual instances
Manual redaction tools let reviewers mark additional regions the AI did not flag
Pages can be rotated for better inspection
The interface is mobile-friendly for review outside the office

Where human review adds the most value:

Context-dependent decisions (a name that should be kept vs. one that should be removed)
Handwritten content in complex layouts where OCR confidence may be lower
Documents with unusual formatting — tables, multi-column layouts, margin annotations
High-stakes outputs where a missed redaction has significant consequences

For teams processing large volumes, consider a tiered review: AI handles all detection, human reviewers spot-check a sample (e.g., 10% of a batch), and full review is applied only to document types with historically higher error rates.

Stage 5: Manage Retention and Deletion

How long files stay on the platform depends on your retention mode configuration:

Ephemeral mode: Original files are deleted immediately after processing. The redacted output is available for download; the original is gone. Use this when source documents are particularly sensitive and must not persist on any external server.

Studio mode: Originals and their redaction masks are retained for review and re-processing. Use this when your workflow requires multiple reviewers or when you may need to adjust redactions after the initial pass.

Regardless of mode, all files are auto-deleted after 30 days. Documents can also be deleted immediately after download. Files are stored encrypted on Microsoft Azure in Europe and are never used to train AI models.

For compliance documentation, maintain your own log of batch job IDs, document types processed, categories applied, and reviewer sign-offs. The API provides job IDs that can anchor this audit trail.

Stage 6: Connect to Your Document Management System

Redaction should be a step within your document pipeline, not a separate silo. Common integration points:

Ingest-time redaction: Documents arrive (via email, upload, or import), are automatically submitted to the redaction API, and the redacted version is stored in your DMS while the original is discarded.

Pre-publication review: Documents are redacted before being shared externally — with regulators, opposing counsel, research partners, or the public.

Archive preparation: Before moving documents to long-term storage, run a batch redaction pass to remove PII that no longer needs to be retained.

In all cases, the API's webhook support means your system can receive a notification when each job completes rather than polling for status.

Practical Integration Checklist

Before going live with an integrated workflow:

[ ] Document type inventory completed; PII categories mapped per type
[ ] Exclusions list built and tested against a sample batch
[ ] Category defaults saved for each recurring document type (Business/Enterprise)
[ ] Retention mode selected based on data sensitivity requirements
[ ] Human review step defined: who reviews, what triggers full vs. spot-check review
[ ] API credentials issued to server-side systems only
[ ] Idempotency keys implemented for retry logic
[ ] Webhook endpoints configured and tested
[ ] Deletion policy documented and verified
[ ] Team members trained on Studio editor review workflow

Team and Access Management

Business and Enterprise plans add multi-user access with role-based permissions, an org-level dashboard, and up to 3 seats (Business) or unlimited seats (Enterprise). Enterprise includes SSO/SAML for centralized identity management. Roles let you separate who can submit jobs, who reviews and approves redactions, and who holds admin access to configuration and billing.

See features and pricing for plan details.