In our approach, we integrate technologies of the Legal Semantic Web and methods of Legal Design. We want legal documents to be machine-readable and to automatically display visuals in the relevant sections to provide individuals with an overview of the processing activities. We also want legal agreements to be clearer about benefits and risks inherited by consenting to certain practices.

Specifically, we use:

Legal ontologies

to provide an abstract, shared, machine-readable model of a certain domain knowledge, e.g. the GDPR.

Legal mark-up

to make the (structural, logical, semantic) content of legal texts explicit and machine-readable.

Experiment

to generate multiple solutions to a problem and validate them through empirical evaluation.

Human-centered design

to create information and services with, for, and around the needs and abilities of their users.

Interdisciplinary collaborations

to exchange and integrate different views, experiences, and skills.