Legal Foundation for SaaS Platform Foretale.ai

I would like to establish the complete legal and contractual foundation for HEXANGO PRIVATE LIMITED's SaaS platform foretale.ai.

I am looking for a thorough legal and product-specific exercise—not generic templates or a simple review of existing documents. The documents should be drafted or recreated based on foretale.ai's actual product, architecture, data flows, AI usage and enterprise customer requirements.

Please review our product and existing Trust Center: https://hexango.com/trust-center

1. Trust Center & Public Legal Documents - Highed Priority

We already have the following documents in place, but they were drafted generically. I would like each of them to be thoroughly reviewed, recreated, and upgraded as necessary to accurately reflect foretale.ai's actual product, technology, architecture, data flows, AI usage, and security practices, while meeting appropriate enterprise SaaS, privacy, security, and AI standards:

* Responsible AI Policy
* AI Transparency Statement
* Information Security Policy
* Access Control Policy
* Incident Response Plan
* Data Retention Policy
* Privacy Policy
* Terms of Use
* Cookie Policy
* Vulnerability Disclosure Policy
* AWS Architecture documentation

Please also prepare a:

* Subprocessor Schedule / List

The objective is to ensure that all Trust Center and public legal documents accurately reflect our actual product, technology, architecture, data processing practices and security controls.

### 2. Customer & Commercial Agreements

Please draft:

* Master Services Agreement (MSA)
* Enterprise Order Form
* Data Processing Addendum (DPA), covering GDPR, UK GDPR, applicable US privacy laws and international data transfers
* Security Addendum / Technical and Organisational Measures
* Mutual NDA
* One-Way NDA template

### 3. Thorough Product & Legal Due Diligence

Before drafting, please conduct the necessary due diligence to understand:

* How foretale.ai works and its actual product functionality
* Customer use cases
* Types of data processed
* Personal data and potential sensitive data exposure
* Data ownership and processing responsibilities
* AI models and AI service providers used
* What customer data is sent to AI services, if any
* Whether customer data is stored or used for model training
* Hosting and infrastructure architecture
* Data locations and international transfers
* Actual subprocessors
* Data retention and deletion processes
* Customer and internal access controls
* Security controls and incident management
* Enterprise contractual and regulatory requirements

### 4. Final Deliverables

The final documentation should:

* Be specifically drafted for **foretale.ai**, not copied generic templates
* Accurately reflect the actual product and technical architecture
* Be legally sound and commercially practical
* Be consistent across all documents, with no conflicting provisions
* Clearly address enterprise SaaS, AI, privacy and security requirements
* Cover GDPR, UK GDPR and applicable US privacy requirements where relevant
* Clearly define customer data ownership, confidentiality and AI usage
* Be suitable for enterprise customer contracting and security/privacy due diligence

Please first confirm the **exact documents you recommend creating or recreating**, identify anything that is unnecessary or missing, and provide your commercial quote for the complete scope.

The objective is to build a **lean but complete legal foundation for foretale.ai**, without creating unnecessary policies or generic documentation.