Mina: A Multilingual LLM-Powered Legal Assistant Agent for Bangladesh for Empowering Access to Justice
On the map: LLM agents and tool use → Social simulation and multi-agent debate
Abstract (arXiv)
Bangladesh's low-income population faces major barriers to affordable legal advice due to complex legal language, procedural opacity, and high costs. Existing AI legal assistants lack Bengali-language support and jurisdiction-specific adaptation, limiting their effectiveness. To address this, we developed Mina, a multilingual LLM-based legal assistant tailored for the Bangladeshi context. It employs multilingual embeddings and a RAG-based chain-of-tools framework for retrieval, reasoning, translation, and document generation, delivering context-aware legal drafts, citations, and plain-language explanations via an interactive chat interface. Evaluated by law faculty from leading Bangladeshi universities across all stages of the 2022 and 2023 Bangladesh Bar Council Exams, Mina scored 75-80% in Preliminary MCQs, Written, and simulated Viva Voce exams, matching or surpassing average human performance and demonstrating clarity, contextual understanding, and sound legal reasoning. Even under a conservative upper bound, Mina operates at just 0.12-0.61% of typical legal consultation costs in Bangladesh, yielding a 99.4-99.9% cost reduction relative to human-provided services. These results confirm its potential as a low-cost, multilingual AI assistant that automates key legal tasks and scales access to justice, offering a real-world case study on building domain-specific, low-resource systems and addressing challenges of multilingual adaptation, efficiency, and sustainable public-service AI deployment.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Placed in Social simulation and multi-agent debate, one of 16 directions in LLM agents and tool use. Builds on 22 of its 45 references that are in the map. First posted on arXiv 4 Nov 2025.
Builds on
22 of 45 references.
Closest ancestors · 4
Same direction, newest first
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- 2024LawLuo: A Multi-Agent Collaborative Framework for Multi-Round Chinese Legal Consultation23 Jul
- 2023Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture28 Jun
Other references · 18
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6 more
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- 2024Large Language Models for Judicial Entity Extraction: A Comparative Studycited by 4
- 2024Exploring Possibilities of AI-Powered Legal Assistance in Bangladesh through Large Language Modelingcited by 3
- 2023Justifiable Artificial Intelligence: Engineering Large Language Models for Legal Applicationscited by 2
Built on by
Citing papers per year: 2026: 2.
2 papers.
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