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Proving that the data behind your AI was lawfully acquired and is defensible, across copyright, data protection, and every jurisdiction you operate in.
Organisations that build, buy, or train on data now face a question they cannot answer alone: is our data pipeline lawful, and can we prove it? Recent landmark rulings on AI and copyright have turned data provenance into a condition of raising capital, signing partners, and defending a model. We help you establish that your training data was acquired lawfully, and evidence it in a way investors and regulators will accept.
This is governance and provenance work grounded in law, data protection, and AI practice. Where a formal legal opinion on a specific jurisdiction is required, we coordinate licensed counsel in that country and synthesise their advice into one decision ready picture, so you work with a single trusted point rather than a scatter of local firms.
We trace every source your training data comes from and how each is acquired.
We surface the copyright, licensing, and data protection risk in each source and market, bringing in licensed counsel where a legal view is needed.
We build the provenance framework that lets you prove lawful acquisition on demand.
We stay available as you enter new markets and add new sources, since each one is a fresh question.
Our team led the drafting of a national AI policy, so we bring lived experience of turning principle into rule, not just commentary on it.
We advise on AI and assure it. We do not sell the systems we assess, which is what makes our judgement worth trusting.
Our foundation in law, data protection, and recognised AI standards means our advice holds up where it counts.
We understand the context our clients operate in, and we hold our work to international standards. Both, not one or the other.
We hold credentials in the international AI management system standard, and we keep current as the field and its rules evolve.
We deliver frameworks, checklists, and templates your team can use immediately, not abstractions that sit on a shelf.
Tell us how you acquire your training data and we will show you how we can help. Email us directly at:
info@pacfaie.org
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