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20232026
most citedEnhancing Logical Reasoning in Large Language Models to Facilitate Legal Applications

1 citations · 2 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

Structured Four-Stage Legal Translation: From Natural-Language Traffic Rules to PROLOG

May Myo Zin, Wachara Fungwacharakorn, Ken Satoh +1

Traffic regulations are written for human interpretation and therefore rely on shared background knowledge and flexible phrasing, which inherently introduce ambiguity, context depe…

cs.AI2026

GDPR Auto-Formalization with AI Agents and Human Verification

Ha Thanh Nguyen, Wachara Fungwacharakorn, Sabine Wehnert +6

We study the overall process of automatic formalization of GDPR provisions using large language models, within a human-in-the-loop verification framework. Rather than aiming for fu…

cs.AI2025

Multi-Agent Legal Verifier Systems for Data Transfer Planning

Ha-Thanh Nguyen, Wachara Fungwacharakorn, Ken Satoh

Legal compliance in AI-driven data transfer planning is becoming increasingly critical under stringent privacy regulations such as the Japanese Act on the Protection of Personal In…

cs.AI2025

An Argumentative Explanation Framework for Generalized Reason Model with Inconsistent Precedents

Wachara Fungwacharakorn, Gauvain Bourgne, Ken Satoh

Precedential constraint is one foundation of case-based reasoning in AI and Law. It generally assumes that the underlying set of precedents must be consistent. To relax this assump…

cs.AI2024

An Argumentative Approach for Explaining Preemption in Soft-Constraint Based Norms

Wachara Fungwacharakorn, Kanae Tsushima, Hiroshi Hosobe +2

Although various aspects of soft-constraint based norms have been explored, it is still challenging to understand preemption. Preemption is a situation where higher-level norms ove…