Daniel Braun

Daniel Braun is a Researcher at the Digital Society Institute, affiliated with Technical University of Munich. His work bridges Artificial Intelligence, Natural Language Processing, and LegalTech, focusing on automated legal assessment of contracts, ethical dimensions of AI, and consumer protection in the digital era.

Education:

• Bachelor in Artificial Intelligence at Saarland University
• PhD in Automated Semantic Analysis, Legal Assessment, and Summarization of Standard Form Contracts at Technical University of Munich
• Master in Creating Textual Driver Feedback from Telemetric Data at University of Aberdeen

Research Interests revolve around applying NLP to legal and engineering domains. Key areas include machine learning for contract analysis, ethical AI frameworks, and consumer protection through automated systems. His recent work explores adversarial attacks on text detectors, lexical alignment in chatbots, and robustness in generative AI detection.

Publications (2024-2025) highlight advancements in German consumer contract analysis, disagreement handling in legal datasets, and regulatory debates around AI. Notable outputs include the AGB-DE corpus and studies on black-box neural text detectors.

Technical Expertise spans data mining, process mining, and domain-specific NLP. He has contributed to smart contract analysis, conversational AI, and language models for engineering and legal contexts.