Create a bespoke document in minutes, Â or upload and review your own.
Get your first 2 documents free
Your data doesn't train Genie's AI
You keep IP ownership of your information
Promissory Note For Delayed Documents
"I need a Promissory Note For Delayed Documents for our Singapore trading company, promising to deliver original shipping certificates by March 15, 2025, with a payment guarantee of SGD 150,000 and a 5% interest rate for late delivery."
1. Promise to Pay: Unconditional promise to pay a specific sum
2. Payment Terms: Amount, currency, and payment schedule
3. Document Details: Description of the delayed documents
4. Due Date: Specific date when documents must be provided
5. Maker's Details: Full legal name and address of the person/entity making the promise
1. Interest Rate: Terms for interest when chargeable on delayed delivery
2. Security Provisions: Details of any collateral or security when the note is secured by assets
3. Default Provisions: Consequences of failing to deliver documents when specific default terms are required
1. Schedule A - Document List: Detailed list of pending documents with descriptions
2. Schedule B - Payment Schedule: If payments are to be made in installments
3. Schedule C - Security Details: If security is provided, details of the security arrangement
Authors
Find the exact document you need
Download our whitepaper on the future of AI in Legal
³Ò±ð²Ô¾±±ð’s Security Promise
Genie is the safest place to draft. Here’s how we prioritise your privacy and security.
Your documents are private:
We do not train on your data; ³Ò±ð²Ô¾±±ð’s AI improves independently
All data stored on Genie is private to your organisation
Your documents are protected:
Your documents are protected by ultra-secure 256-bit encryption
Our bank-grade security infrastructure undergoes regular external audits
We are ISO27001 certified, so your data is secure
Organizational security
You retain IP ownership of your documents
You have full control over your data and who gets to see it
Innovation in privacy:
Genie partnered with the Computational Privacy Department at Imperial College London
Together, we ran a £1 million research project on privacy and anonymity in legal contracts
Want to know more?
Visit our for more details and real-time security updates.
Read our Privacy Policy.