Human Native

Client Archetype: The Innovation Evangelist
Sector: AI / Dataset Licensing
Legals: dataset licensing, platform governance, IP, transparency, EU AI Act, contract architecture, investor readiness

How do you build a platform that provides AI developers with the high-quality data they need to train their algorithms, while still respecting the humans behind the content? That’s what Human Native set out to do: they connect rightsholders like publishers and producton companies with AI companies that actually care about paying for properly licensed datasets.

Human Native is fast-growth VC-backed platform operating at the intersection of data licensing and machine learning development. Their ambition is to create a fair data ecosystem that ensures proper compensation for rights holders while enabling responsible AI development. Acting as an intermediary between both demand and supply sides, the platform required a robust contractual foundation to limit legal exposure across payment flows, attribution, and downstream usage of datasets. I worked closely with the team to design the licensing agreements and platform terms to align with evolving AI regulation and while encouraging scalable monetisation. The framework accounted for variable pricing models, attribution standards, and IP ownership scenarios, data protection rules, and compliance with the Online Safety Act. The result was legal architecture that limits liability exposure, balances the needs of both data providers and developers, and encourages the ethical commercialisation of training datasets.