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AI-Based Legal Information Retrieval Chatbot

Year: 2026

Type: preprint

Abstract: This preprint presents an AI-based legal information retrieval chatbot designed to provide natural-language answers grounded in verified legal sources. The proposed system uses retrieval-augmented generation to retrieve relevant passages from a curated legal knowledge base containing statutes, regulations, and case summaries. A hybrid retrieval mechanism combines dense semantic retrieval with BM25 lexical retrieval, followed by grounded answer generation, atomic claim extraction, citation matching, and entailment verification. A confidence-based abstention mechanism prevents the system from returning unsupported legal claims when sufficient evidence is unavailable. The proposed evaluation considers answer accuracy, retrieval performance, citation correctness, and hallucination rate, with the objective of improving the reliability and traceability of conversational legal information access.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22020975

Author: GUPTA, ADISHREE

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: W7203934964

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