FeaturedLegal & Compliance#Legal#NDA#Contract#Document#Drafting#AI

NDA Generator from Intake

Turn a few details about two parties and a purpose into a clean, structured NDA draft for legal review.

Workflow at a glance

The full canvas, before you import it

Click any node to see its config.

#Legal#NDA#Contract#Document#Drafting#AI

Click a node to select it — same as the Heym editor; the panel shows its settings.

3 nodes · Free & source-available

NDA Generator from Intake

Draft non-disclosure agreements in seconds, then send them for review. Provide the parties, purpose, term, and governing law and this template produces a structured NDA draft with the standard sections, ready for a lawyer to finalize.

What this workflow does

  1. ndaIntake captures both parties, the purpose, term, governing law, and whether it is mutual
  2. draftNda produces a structured NDA with definitions, obligations, exclusions, term, and a signature block
  3. ndaResult returns the draft for review

Use cases

  • Fast first-draft NDAs for vendors, contractors, and partners
  • Consistent structure across every agreement
  • Feeding a draft into an e-signature step after review

Setup

Connect an LLM credential in draftNda. Fill the intake and run. This produces a draft for review and is not legal advice — have a qualified lawyer finalize every agreement.

How to import this template

  1. 1Click Import → Copy JSON on this page.
  2. 2Open your Heym and navigate to a workflow canvas.
  3. 3PressCmd+V/Ctrl+V— nodes appear instantly.
  4. 4Add your API keys in the node config panels and click Run.
More workflow templates
View all templates
Heym
incident analysis · production AI
Observed across 100s of AI rollouts

AI workflows don't fail because of prompts.
They fail because of orchestration.

symptom · glue code01
5 tools
Scripts, vector DB, approval bot, tracing, browser runner — none of them talk.
symptom · visibility02
~0%
Observable behavior across the stack. Debugging is guesswork.
with heym · one runtime
1 canvas
Agents, RAG, HITL, MCP, traces & evals. Self-hosted. Observable.
AI-Native RuntimeProduction-Grade
github.com/heymrun/heym