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Draft Effective NDA Variants

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Coursera

Draft Effective NDA Variants

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • NDA Structure: Choosing mutual or one-way formats reflects info flow and determines risk. Good drafting changes only what the structure requires.

  • Long-Term Risk: Residuals and survival clauses create hidden exposure. Loose know-how carve-outs can entirely ruin a confidentiality definition.

  • Red-Flag Review: Catching broad IP claims or hidden non-solicits requires a strict checklist. Systematic frameworks beat relying on gut instinct.

  • Clause Precision: Clean redlines across NDA types, changing only what is legally required, show drafting discipline that wins stakeholder trust.

Details to know

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Recently updated!

September 2026

Assessments

7 assignments¹

AI Graded see disclaimer
Taught in English

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There are 3 modules in this course

Learners draft mutual, one-way, and time-limited confidentiality definitions from a single fact pattern, varying language only where each NDA type requires.

What's included

1 video2 readings2 assignments

Learners analyze residuals and term-survival clauses across three NDA variants to identify how each clause affects post-term information use, and build a comparative clause analysis table in Excel.

What's included

1 video1 reading2 assignments

Learners evaluate an incoming vendor NDA against a structured red-flag checklist to identify overbroad IP grabs, disguised non-solicits, and unlimited duration terms, and deliver clause-level accept/revise/reject recommendations.

What's included

1 video2 readings3 assignments

Instructor

Professionals in the Industry
457 Courses84,346 learners

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Coursera

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Frequently asked questions

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.