The Forensic Standard: Deterministic Verification in Legal AI

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.