AI deployment has moved past the experimentation phase. Foundation models power customer-facing products, agentic systems take autonomous actions, and algorithmic decision-making affects employment, credit, and access decisions. The legal questions follow: who owns training data, who bears liability when output misleads, how to design model governance that satisfies multiple jurisdictions at once. Vircon Legal advises AI builders, platform operators, and enterprise adopters on the law that frames this work.
Our AI law practice covers:
- Foundation model and product development: training data licensing, output IP allocation, derivative work treatment
- EU AI Act compliance for Turkish companies serving European users: risk classification, conformity assessment, transparency obligations
- Algorithmic decision-making frameworks: explainability requirements, human-in-the-loop design, anti-discrimination audits
- AI-specific terms of use, acceptable use policies, and output disclaimer frameworks
- Generative AI in commercial contracts: vendor AI clauses, customer indemnification, output liability allocation
- Training data and IP: copyright, database rights, web scraping considerations, model card disclosures
- Synthetic media governance: voice cloning, deepfake disclosure, consent frameworks
- Intersection with data privacy: automated decision-making rights, profiling notices, DPIA for AI systems
We advise Turkish AI startups raising international rounds, foreign AI companies onboarding Turkish enterprise customers, and platform operators integrating LLM-powered features into existing products. Our work integrates with technology law, SaaS contracting, and IP practices — because AI questions rarely sit in just one bucket.