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Tern Client Services: Mutual non-disclosure agreement (DOCX)

Mutual non-disclosure agreement (DOCX) for Tern Client Services. A mutual NDA in 8 clauses and 10 sub-clauses, effective 10 November 2025 and running 36 months to 9 November 2028. It predates the master services agreement by 56 days, which is why clause 7.3 of MSA-2026-01 keeps it alive alongside. The PDF twin in the same directory carries the identical text.

Rendered preview of Tern Client Services: Mutual non-disclosure agreement (DOCX)

Rendered preview of the docx file (37.3 KB). Download above for the original.

Specifications

Document Set
contracts
Industry
professional-services
Source Kit
crm-services
Entity
Tern Client Services
Synthetic
true
As Of
2026-09-08
Contract Id
NDA-2026-01
Clauses
8
Mutual
true
Effective Date
2025-11-10
Expiry Date
2028-11-09
Renderer
python-docx
Paragraphs
24

Testing contract

Expected to pass
Scenario
Parse both renderings and check the term arithmetic against the register.
Expected result
Effective 2025-11-10 plus 36 months minus one day is 2028-11-09, which is the expiry both renderings state and the value contract-register.csv holds for NDA-2026-01.

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

“Tern Client Services: Mutual non-disclosure agreement (DOCX)” is a deterministic Novus Examples fixture for Data import. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.

Documented properties for this file: DOCX · 38,202 bytes. 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.

Document fixtures list their internal structure (pages, fields, tracked changes, embedded objects) in the spec table. Test extractors, converters, and OCR against that known structure, and compare searchable↔scanned or format-twin companions when present.

Code examples

from docx import Document  # pip install python-docx

doc = Document("mutual-nda.docx")
for p in doc.paragraphs[:10]:
    print(p.text)

Generated by generation/industry_documents_two.py. Free for any use, no attribution required, license.