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
Client Declaration Form
"Need a Client Declaration Form for our Singapore-based investment advisory firm, compliant with MAS regulations and including specific sections for high-net-worth individual declarations and investment risk acknowledgments, to be implemented by March 2025."
1. Personal Information: Client's basic details including name, identification, contact information
2. Declaration Statements: Core declarations and confirmations by the client
3. Data Protection Consent: PDPA-compliant consent clauses for data processing
4. Signature Block: Space for client signature and date
1. Financial Profile: Required for financial service providers, includes income and asset information
2. Risk Disclosure: Required for investment-related services
3. Tax Residency: Required for financial institutions under CRS/FATCA
4. Politically Exposed Person Declaration: Required for enhanced due diligence
1. Document Checklist: List of supporting documents required
2. Terms and Conditions: Detailed terms referenced in the main declaration
3. Product Schedule: Details of specific products or services being declared for
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.