Skip to main Communities My dashboard Log in Sign up Published April 14, 2026 | Version v1 Technical note Open Tort Before Retrieval: A Pre-Retrieval Legal Intake Protocol for AI-Mediated Legal Systems Authors/Creators Huang, Yongzhi 1 Show affiliations 1. University of Toronto Description This white paper introduces Tort Before Retrieval (TBR) as a pre-retrieval legal intake protocol for AI-mediated legal systems. It argues that legal AI systems often begin too late by retrieving cases, statutes, and commentary before the legal object has been properly received, classified, characterized, and routed. The paper positions TBR as an upstream control architecture for reducing legal misrouting risk, distinct from ordinary hallucination control. It connects TBR with the Pre-Judgment Logic Shell (PJLS), the 4-3-3-2 routing grammar, and the broader Structural Fiscalistics / Fiscal Geometry architecture. The white paper is intended for legal AI vendors, legal database providers, law firms, insurers, courts, tribunals, and AI governance teams concerned with intake control, route integrity, and professional-risk management in AI-mediated legal reasoning. Files Tort Before Retrieval WP1.0 .pdf Files (161.7 kB) Name Size Download all Tort Before Retrieval WP1.0 .pdf md5:665ad5d261ea3962084cd85c7aa6cb0d 161.7 kB Preview Download 28 Views 9 Downloads Show more details All versions This version Views Total views 28 28 Downloads Total downloads 9 9 Data volume Total data volume 1.5 MB 1.5 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Details DOI DOI Badge DOI 10.5281/zenodo.19578799 Markdown [](https://doi.org/10.5281/zenodo.19578799) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19578799.svg :target: https://doi.org/10.5281/zenodo.19578799 HTML <a href="https://doi.org/10.5281/zenodo.19578799"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19578799.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19578799.svg Target URL https://doi.org/10.5281/zenodo.19578799 Resource type Technical note Publisher Zenodo Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created April 14, 2026 Modified April 14, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies