Businesses negotiating technology contracts in 2026 face mounting pressure to clearly define who owns content and outputs generated by artificial intelligence systems.
The rapid embedding of AI into commercial products and services has created significant legal uncertainty around intellectual property rights and contractual protections for both vendors and customers.
Legal practitioners are now urging companies to scrutinise every AI-related agreement carefully, ensuring ownership of generated outputs is explicitly allocated regardless of copyright eligibility.
One of the most contested areas in AI contracting concerns whether vendors can use customer data or outputs to further train and improve their underlying models.
Technology providers and their customers are increasingly at odds over model rights, with agreements often failing to specify who retains control of the core AI system being licensed.
Indemnification clauses present another significant challenge, as traditional IP protections do not always extend naturally to cover AI-generated outputs or model predictions.
Practitioners advise that any indemnification provisions should expressly address AI outputs while also including appropriate exclusions where customers have modified or misused the technology.
Performance and accuracy warranties represent a further pressure point, with customers pushing for service levels and clear remedies when AI systems fail to meet promised output quality.
Data privacy compliance adds another layer of complexity, particularly where agreements must address automated decision-making disclosures and consumer rights under applicable privacy regulations.
The intersection of intellectual property law, data privacy obligations, and emerging regulatory frameworks means that businesses without robust AI contract strategies face considerable exposure.
Both technology providers and customers are advised to conduct thorough due diligence on training data sources, ensuring that underlying datasets do not introduce hidden IP liability into commercial arrangements.
Legal teams that fail to address these ownership and licensing questions at the drafting stage risk costly disputes as AI systems become ever more central to core business operations.