AI-BASED BUSINESSES HAVE FEATURES THAT DIFFER FROM SYSTEM DEVELOPMENT AND CANNOT BE STRUCTURED SOLELY ON TRADITIONAL SYSTEM DEVELOPMENT CONTRACTS WITH COMPLETION OBLIGATIONS. THERE ARE ALSO BUSINESS MODELS IN WHICH DATA MANAGEMENT AND COMPUTATIONAL RESOURCES ARE SPLIT BETWEEN THE CLOUD AND THE EDGE, WHILE IP DATA AND PRIVACY ARE PROTECTED AS SERVICES. OUR MEMBERS, WHO HAVE ACTIVELY COMPLETED AI-RELATED PROGRAMS AT OVERSEAS UNIVERSITIES, CAN PROVIDE LEGAL SUPPORT FOR YOUR PROJECTS. WE WILL ALSO PROVIDE ADVICE BASED ON SPECIFIC APPLICATION SCENARIOS, SUCH AS HEALTHCARE, FINANCE, LOGISTICS, AND SUPPLY CHAIN REFORM IN THE MANUFACTURING INDUSTRY.
- AI PROJECTS, BUSINESS DESIGN FROM DATA ETHICS
- AI PROJECT-RELATED CONTRACTS
- Legal Issues Surrounding Generative AI/LLM
- Legal issues for the integrated design of the application layer and infrastructure infrastructure layer of Generative AI/LLM
- Designing a balance between algorithmic regulation and the absence of decisions or actions against individuals
- Adversarial Attacks and Other Cyber Attacks Directed at AI and Zero Trust Architecture
- Edge computing (discussion of boundary points of responsibility such as edge, fog, cloud, etc.)
- Open Source Licensing / FOSS Issues in the Era of 5G and Multi-Cloud
- LEGAL ISSUES SURROUNDING WEB, API DISCLOSURE AND DEVELOPMENT PARTNERS
- APPLICATION DATA M&A / LEGAL DD
- Legal issues surrounding cloud computing (Saas, Paas, Iaas)
- Examples of the scope of responsibility of the cloud and models for identifying and sharing responsibility
- Edge Computing and Responsibility Boundaries
- Role-sharing and security, data privacy, and intellectual property protection issues among public cloud, fog computing, and edge computing
- Containers, security over microservices, and multi-cloud
- SBOM-IZATION OF SYSTEM DEVELOPMENT, CYBER SECURITY AND OVERSEAS MARKET DEVELOPMENT