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The Forensic Standard: Deterministic Verification in Legal AI

Year: 2026

Type: article

Abstract: As Large Language Models (LLMs) reach saturation in legal practice, the inherent risk ofstochastic hallucination remains the primary barrier to institutional-grade adoption. Thispaper introduces the Forensic Logic Layer (FLL), a deterministic audit framework de-signed to achieve “Absolute Zero Hallucination” by decoupling linguistic generation fromfactual verification. By implementing Intermediate Representation (IR) schemas, a 0.85-threshold fuzzy matching algorithm, and adversarial Natural Language Inference (NLI), weestablish a verifiable lineage for legal claims. This framework ensures adherence to ABAModel Rule 1.1 and emerging 2026 AI accountability standards.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19582431

Author: Tessema, Anteneh

Language: English

Topic: Artificial Intelligence in Law

Subfield: Political Science and International Relations

Field: Social Sciences

Domain: Social Sciences

SDG: Peace, justice, and strong institutions

Open Access status: green

OpenAlex ID: W7154218397

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