NDA Intake Processor for Agencies
An AI agent that handles nda intake processing for legal / compliance teams in agencies & consultancies businesses. Triggered by new email received, it extracts structured data, classifies and categorises, drafts a reply, with human review before sending.
NDA processing is high-volume and mostly routine. This agent fast-tracks standard NDAs, flags non-standard terms, and checks for existing agreements — reducing legal team workload on repetitive paperwork.
Ideal For
- Legal counsel
- Compliance officers
- Contract managers
- Teams in agencies & consultancies
Data Sources
- Email inbox
- Internal knowledge base
- Shared drive (Google Drive, OneDrive)
Trigger
Workflow starts when: New email received
Collect Data
Retrieve data from: Email inbox, Internal knowledge base, Shared drive (Google Drive, OneDrive)
Extract structured data
Perform: extract structured data on the collected data
Classify / Categorize
Perform: classify / categorize on the collected data
Draft reply
Perform: draft reply on the collected data
Route task to person
Perform: route task to person on the collected data
Human Review
Human approval: Review before sending
Complete & Log
Log activity, update records, and close the workflow
If: NDA uses the company standard template
Then: Fast-track for digital signature
If: NDA contains non-standard terms
Then: Route to legal counsel for review
If: Counterparty has an existing NDA on file
Then: Check expiry and coverage before processing new one
If: NDA is mutual vs. one-way
Then: Apply the correct review checklist for the NDA type
If: Action involves financial data or PII
Then: Require manager approval before proceeding
Never expose API keys or credentials in outputs
Only perform actions within defined workflow scope
Maintain formal, business-appropriate language
Log all actions for audit trail
Mask PII in logs and outputs
Require explicit approval for irreversible actions
- If counterparty insists on their own template, route to legal for full review
- If the NDA scope is broader than standard, flag potential risk to the business unit head
- If no human response within 4 hours, send reminder and escalate to backup
- If error occurs with sensitive data, halt workflow and alert security team
- Log all exceptions with full audit trail for compliance
- Tasks processed per day
- Error/failure rate
- Processing time per NDA
- Standard template usage rate
- Non-standard term flag accuracy
- Human intervention rate
System Prompt
You are a Legal / Compliance AI assistant specialized in nda intake processing. ## Your Role You help legal / compliance teams by automating nda intake processing tasks. Your communication style is professional. ## Capabilities You can: extract structured data, classify / categorize, draft reply, route task to person. ## Guidelines - Always be accurate and verify data before acting - Flag uncertain cases for human review - Maintain professional tone - Never make promises or commitments on behalf of the organization - Respect data privacy and confidentiality - Log all significant actions for audit purposes ## Constraints - Only access data sources explicitly provided - Do not perform actions outside your defined scope - Escalate edge cases rather than guessing - Require approval for all external communications - Apply strict data handling protocols
Starter User Prompt
Process this email received: [INSERT DATA HERE] Perform nda intake processing according to your guidelines. Provide: 1. Classification/analysis 2. Recommended action 3. Draft output (if applicable) 4. Any flags or concerns
Handoff Prompt
This task requires human attention. Here is what I have processed: ## Summary [Brief description of what was done] ## Analysis [Key findings and classification] ## Recommended Action [What should happen next] ## My Concerns [Any flags, uncertainties, or edge cases] Please review and respond when available. Please review and advise how to proceed.
# NDA Intake Processor - Standard Operating Procedure ## Purpose This SOP defines how the NDA Intake Processor operates within the organization. ## Trigger New email received ## Data Sources - Email inbox - Internal knowledge base - Shared drive (Google Drive, OneDrive) ## Process Steps 1. Extract structured data 2. Classify / Categorize 3. Draft reply 4. Route task to person ## Human Oversight Review before sending ## Escalation Path 1. Agent flags issue 2. Notification sent to assigned reviewer 3. If no response in 4 hours, escalate to backup 4. Log all escalations ## Review Schedule Monthly review of agent performance and rules
- 1Define access credentials for all data sources
- 2Set up automation platform (n8n/Zapier)
- 3Configure AI API access (OpenAI/Claude)
- 4Create trigger workflow
- 5Connect input data sources
- 6Implement extract structured data step
- 7Implement classify / categorize step
- 8Implement draft reply step
- 9Implement route task to person step
- 10Configure human review/approval workflow
- 11Set up notification channels for reviews
- 12Test with sample data
- 13Configure error handling and alerts
- 14Set up logging and monitoring
- 15Document and train team
- 16Deploy to production
- 17Schedule first review
n8n Workflow
## n8n Workflow Outline ### Trigger Node - Type: New email received - Configuration: Set up webhook/schedule/email trigger ### Input Nodes - Email inbox: HTTP Request or native integration node - Internal knowledge base: HTTP Request or native integration node - Shared drive (Google Drive, OneDrive): HTTP Request or native integration node ### Processing Nodes 1. OpenAI Node: Extract structured data 2. OpenAI Node: Classify / Categorize 3. OpenAI Node: Draft reply 4. Function/HTTP Node: Route task to person ### Approval Node - Wait Node with Slack/Email notification - Resume on approval webhook ### Output Nodes - Update destination systems - Send notifications - Log activity
Zapier Zap
## Zapier Workflow Outline ### Trigger (Zap starts when...) - New email received ### Data Lookup Steps - Search/Lookup in Email inbox - Search/Lookup in Internal knowledge base - Search/Lookup in Shared drive (Google Drive, OneDrive) ### Action Steps 1. ChatGPT by Zapier: Extract structured data 2. ChatGPT by Zapier: Classify / Categorize 3. ChatGPT by Zapier: Draft reply 4. App Action: Route task to person ### Approval Path - Use Paths or Delay Until to pause for approval - Send notification via Slack/Email ### Final Actions - Update records - Send completion notification
Example Use Cases
- •Fast-track standard-template NDAs for digital signature
- •Route non-standard NDAs to legal counsel with a flagged-terms summary
- •Check for existing NDAs with the counterparty before processing a new one
Tools Needed
Frequently Asked Questions
What does the NDA Intake Processor do?
An AI agent that handles nda intake processing for legal / compliance teams in agencies & consultancies businesses. Triggered by new email received, it extracts structured data, classifies and categorises, drafts a reply, with human review before sending.
What tools do I need to implement this?
You'll need n8n or Zapier (workflow automation), OpenAI API or Claude API (AI processing), Gmail, Outlook. Most implementations use n8n or Zapier as the workflow automation layer.
How long does implementation take?
A basic implementation typically takes 1-2 days for simple workflows, or 1-2 weeks for complex integrations with multiple data sources.
How do I handle errors and edge cases?
The blueprint includes exception handling rules and escalation paths. Configure alerts for failures and set confidence thresholds for human review.
What level of technical skill is needed?
Basic familiarity with workflow automation tools (Zapier/n8n) is helpful. No coding is required for most implementations, though API integration experience helps for advanced setups.
Best For
- •You have frequent nda intake processing tasks
- •The process follows clear, repeatable rules
- •Current manual handling creates delays or errors
- •Team capacity is stretched on routine work
Not Ideal For
- •Tasks require complex judgment or creativity
- •Volume is too low to justify setup time
- •Rules change frequently and unpredictably
- •Data quality is poor or inconsistent
Review Before Launch
- All integrations tested with real credentials
- Error handling and retry logic configured
- Notification channels set up for alerts
- Team trained on reviewing exceptions
- KPI dashboard configured
- Rollback plan documented
Ready to implement your NDA Intake Processor? Use this blueprint to guide your setup in n8n, Zapier, or your preferred automation platform.
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