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A Brief Report on LawGPT 1.0: A Virtual Legal Assistant Based on GPT-3

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arxiv 2302.05729 v2 pith:YASRTXBT submitted 2023-02-11 cs.CL cs.AI

classification cs.CLcs.AI
keywords legallawgptassistantbriefgpt-3modelreporttasks
verification ladder T0 review T1 audit T2 compute T3 formal
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LawGPT 1.0 is a virtual legal assistant built on the state-of-the-art language model GPT-3, fine-tuned for the legal domain. The system is designed to provide legal assistance to users in a conversational manner, helping them with tasks such as answering legal questions, generating legal documents, and providing legal advice. In this paper, we provide a brief overview of LawGPT 1.0, its architecture, and its performance on a set of legal benchmark tasks. Please note that the detailed information about the model is protected by a non-disclosure agreement (NDA) and cannot be disclosed in this report.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. MET: Theory-Grounded and Culture-Aware Multilingual Moral Reasoning

    cs.CL 2026-07 conditional novelty 6.5 of 10

    MET-D self-distills theory-selected moral grounds into native-language reasoning, lifting macro-F1 by ~3.7–4.2 points on MCLASH and MMoralExceptQA while raising native-language chains by ~62 points.

  2. LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents

    cs.AI 2025-09 reject novelty 5.0 of 10

    On CUAD legal contracts, a prompt-engineered QWEN-2 pipeline with chunking and two answer-selection heuristics reportedly outperforms the fine-tuned DeBERTa-large baseline by about 9%, reaching claimed state-of-the-ar...

  3. LLMPR: A Novel LLM-Driven Transfer Learning based Petition Ranking Model

    cs.CL 2025-05 reject novelty 2.0 of 10

    A petition-ranking model that reports near-perfect accuracy, but its target ranking is derived from the same gap-days features it feeds the model, making the result circular.

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