INDEMNITY

AI SaaS raises thorny IP questions across training data, model rights, and output ownership; the practical path is to decompose “who owns what” (inputs, models, outputs, derivatives), restrict training uses by contract, align open‑source licenses, and negotiate indemnities and residency—enforced by policy‑as‑code and auditable operations to avoid disputes and downstream blockage. Emerging guidance highlights scraped‑data … Read more