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
Work Testimonial Letter
"I need a Work Testimonial Letter for my former software developer who worked on our AI projects from January 2025 to September 2025, highlighting their technical achievements and leadership skills in managing a team of five developers."
1. Letter Header: Company letterhead, date, and recipient details
2. Employee Identification: Full name and role of the employee
3. Employment Period: Start and end dates of employment
4. Job Description: Brief overview of main responsibilities and duties
5. Performance Assessment: General evaluation of work quality and achievements
6. Closing Statement: Professional recommendation and contact information
1. Specific Projects: Details of notable projects, use when highlighting particular achievements
2. Skills Development: Training and qualifications gained, use when relevant to future roles
3. Character Reference: Personal qualities and work ethic, use when specifically requested
1. Performance Records: Optional attachment of relevant performance reviews or achievements
2. Project Documentation: Supporting evidence of specific project work, if referenced
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.