Data Processing Addendum (DOCX, SAMPLE)
A fictional DPA DOCX for privacy-document tooling tests. Not legal advice.

Rendered preview of the docx file (36 KB). Download above for the original.
Specifications
- Type
- DPA
- Note
- fictional SAMPLE — not legal advice
Testing contract
Expected to pass- Scenario
- Exercise Data Processing Addendum (DOCX, SAMPLE) in its legal workflow. A fictional DPA DOCX for privacy-document tooling tests.
- Expected result
- ZIP package contains 17 members; document has 8 paragraphs and 0 tables; tracked insertions=0, deletions=0. Declared feature checks: type=DPA.
What is a .docx file?
DOCX is the default Microsoft Word format, an Office Open XML document packaged as a ZIP archive of XML parts, media, and relationships. It stores structured text, styles, tables, images, and metadata. It is the dominant format for editable word-processing documents.
How to use this file
Use an example DOCX to test Office Open XML parsing, text and style extraction, ZIP-package handling, and converters that render or transform Word documents.
How to use this file for testing
“Data Processing Addendum (DOCX, SAMPLE)” is a deterministic Novus Examples fixture for Templates, Privacy export testing. Professional, neutral starting-point documents you can download and adapt, invoices, resumes, budgets, and more.
Documented properties for this file: DPA. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.
Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.
This template ships filled with realistic sample content and documented fields and formulas. Download it as a starting point, or point a converter/parser at it, format twins (for example DOCX↔PDF) let you diff conversion fidelity.
Code examples
from docx import Document # pip install python-docx
doc = Document("dpa-sample.docx")
for p in doc.paragraphs[:10]:
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