AI Review for Word Documents, Payslips & Contracts
Upload .docx files to Zlaip Review Workspace for Word-like preview, text-anchored comments, and agreement-aware AI asset scan, ideal for payslips, contracts, copy decks, and HR documents.
Part of Approval Lock™ guides guides →
- AI asset review
- Word document review
- payslip review
- contract review workflow
- docx client approval
- review workspace
Finance sends a payslip. Legal shares a contract addendum. Marketing uploads a Word copy deck. Clients need to read the actual document, leave anchored feedback, and know the file matches the locked milestone: not just skim plain text in chat.
Zlaip supports Word (.docx) review in the same Review Workspace as video, PDF, and images, with a document-style preview, text selection comments, and AI Asset Review that reads extracted text against your deliverable and Definition of Done.
When Word review matters
| Use case | Why in-app review beats email |
|---|---|
| Payslips & payroll packs | Tables, totals, and labels must be checked on the real layout |
| Contracts & SOW addenda | Clause-level comments need to stick to the version under Approval Lock |
| Copy decks & long-form text | Headlines, placeholders, and section completeness vs. DoD |
| HR / compliance docs | Wrong attachment uploaded is a high-severity mistake. AI match guard helps |
Email threads and generic file shares do not anchor comments to selections. Paste-only review loses tables and formatting. Zlaip keeps the .docx file as the source of truth.
How Word upload works in Zlaip
- Creative chooses Upload for review in Accountability Chat (same flow as PDF, video, Excel).
- Select a .docx file, no separate “Word upload” button.
- File stores on the agreement; client opens Review Workspace.
- Document renders in a white page, gray canvas viewer (Word-like layout, including tables).
- Reviewers select text in comment mode; anchors store character offsets plus a quoted excerpt for reliable highlights.
- AI Asset Review queues automatically, text is extracted server-side for the scan.
Inline pasted text (no file) still works for simple copy; uploaded .docx is the path for formatted documents.
AI scan on Word documents
AI Asset Review for .docx sessions:
- Deliverable match: does this file plausibly match the milestone label and scope? (e.g. July payroll vs. June payroll)
- Extracted text analysis: placeholder copy, missing sections, obvious completeness gaps vs. Definition of Done
- Draft comments: suggested feedback you publish after editing; nothing auto-posts to the client
The model reads plain text extracted from the document plus agreement context (deliverable label, scope clauses, revision limits). It does not replace legal review, it catches objective, visible issues and wrong-file uploads early.
For table-heavy payslips, also verify totals and labels visually in the preview; AI supplements human review on layout-sensitive numbers.
Comments on Word documents
- Select text → floating comment draft → publish as draft or revision request (per milestone rules).
- Anchors use TEXT type: start/end offsets plus optional quote string so highlights survive layout tweaks.
- Click a comment in the sidebar → workspace scrolls to the anchored selection.
Revision Boundary™ still applies: when included rounds are exhausted, new revision feedback is blocked at the server. AI scan respects the same limit.
Word vs. PDF for the same content
| Word (.docx) in Zlaip | ||
|---|---|---|
| Preview | Editable-layout HTML preview (tables, styles) | Page-based with region highlights |
| Best for | Living documents, tables, payslips still edited in Word | Final, print-locked deliverables |
| AI scan | Extracted text + agreement context | Text extraction + page images when configured |
| Client UX | Text selection comments | Pins, highlights, arrows on pages |
Many teams export PDF for final sign-off; use .docx review while copy and numbers are still moving.
Setup
Same as other AI asset review:
- OPENAI_API_KEY on the server
- Object storage for uploaded
.docx - Review enabled on the project
See AI Asset Review guide and AI Asset Review (blog) for quotas, beta access, and the full scan workflow.