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1. Introduction
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2. Research method and objectives: The legal domain – a challenge for data science
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3. Related work
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4. Reference architecture and data model
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4.1. Reference architecture for the data science environment
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4.2. Data Model, Data Storage and Access
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4.3. Text Mining Engine
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4.4. Importer and Exporter
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5. Unveiling semantic structures in laws
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5.1. Determining legal definitions in legal texts using Apache UIMA and Apache Ruta
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5.2. UIMA pipeline for semantic annotation of legal texts
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5.3. Accessing results and annotations through the user interface
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6. Conclusion, outlook, and future applications
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7. Acknowledgement
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8. Bibliography
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