Daniele Allega

Daniele Allega is a Ph.D. candidate in Sustainability and ESG Agenda at Universitas Mercatorum, where his doctoral research examines the governance of AI-powered sociotechnical systems. His work addresses trustworthy and community-governed artificial intelligence in legal and social science domains, combining legal theory, platform economics, and the technical architecture of AI systems.

His work includes multiple peer-reviewed publications introducing original frameworks for artificial legal intelligence, including MERL-T (a multi-expert architecture for trustworthy legal AI), RLCF (Reinforcement Learning from Community Feedback), the Artificial Legal Intelligence Society (ALIS) platform, and the Knowledge Commoditization Paradox. The last of these has found independent mathematical support in subsequent work on the theoretical limits of embedding-based retrieval, through its core mechanism of semantic entropy in vector representations.

Alongside his academic work, Daniele has operated across regulated industries at the intersection of legal compliance and technical architecture, with experience at CONSOB (Italy's securities and markets authority), Deloitte Risk Advisory, ELIS Innovation Hub in the smart grid sector, and in blockchain and cryptocurrency regulation in Malta. He holds a single-cycle Master's Degree in Law from the European University of Rome, six further post-graduate Masters, a CCNA 200-301 certification, and has completed the legal traineeship for Rome's Bar Association.

His research stay in Brussels starts in April 2026 and ends in November 2026.