This framework agreement governs the contractual relationship between an anonymised artificial-intelligence and data-solutions company and the client for the provision of specialized technology services in artificial intelligence, data engineering, digital transformation, advanced analytics, business intelligence, cloud computing, automation, digital twins, and technical support.
Content updated: 2026-09-07
Work sample date
July 2026
Jurisdiction
Saudi Arabia and Syria
Work type
Contract Drafting
Document language
Arabic
Client type
Medium-Sized Technology Company
The principal challenge in this contract was to regulate broad and complex technology and artificial-intelligence services clearly and in a manner that protects both parties, particularly regarding data, intellectual property, the accuracy of AI outputs, liability, and changes to the scope of work.
We prepared and structured a comprehensive framework agreement defining the relationship between the technology provider and its client for the provision of technology, artificial-intelligence, and data services. The work clarified the scope of services, the work-order mechanism, each party’s responsibilities, data and intellectual-property management, confidentiality, cybersecurity, invoicing, acceptance, change control, warranties, liability, and termination, with the aim of creating a clear and flexible agreement that protects both parties’ rights and facilitates future technology projects.
The deliverable was a framework agreement covering work orders, acceptance, change control, data, intellectual property, payment and liability. The published account does not confirm execution of the agreement or completion of a technology project.
For a similar technology arrangement, identify deliverables, acceptance measures, data responsibilities, fees and exit support for each project. The example describes a framework document; it does not establish that every contemplated project was ordered or delivered.
This sample demonstrates professional experience only. Details may be modified or withheld to protect confidentiality, and past work or outcomes do not guarantee the result of another matter.