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Geospatial information is almost never sold. It is licensed. And AI has broken many of the assumptions those licenses were built on. Can you train a model on that imagery? Who owns the outputs? What happens to the model when the license ends?
Written for non-lawyers, this plain-language guide explains why geospatial data is licensed, the IP, contract, and regulatory frameworks behind it, and the core terms you will actually negotiate, such as scope of rights, derivative works, warranties, liability, indemnification, termination. It closes with a practical review methodology, a license review checklist, and a glossary.
Geospatial information is almost never sold. It is licensed. And AI has broken many of the assumptions those licenses were built on. Can you train a model on that imagery? Who owns the outputs? What happens to the model when the license ends?
Written for non-lawyers, this plain-language guide explains why geospatial data is licensed, the IP, contract, and regulatory frameworks behind it, and the core terms you will actually negotiate, such as scope of rights, derivative works, warranties, liability, indemnification, termination. It closes with a practical review methodology, a license review checklist, and a glossary.