mlsanityData to 14 Oct 2026

Mina: A Multilingual LLM-Powered Legal Assistant Agent for Bangladesh for Empowering Access to Justice

arXiv 2511.08605 ↗First posted 4 Nov 2025cs.CL cs.CY cs.HCcited by 2

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

  1. 2024Agents on the Bench: Large Language Model Based Multi Agent Framework for Trustworthy Digital Justice24 Dec
  2. 2024LegalAgentBench: Evaluating LLM Agents in Legal Domain23 Dec
  3. 2024LawLuo: A Multi-Agent Collaborative Framework for Multi-Round Chinese Legal Consultation23 Jul
  4. 2023Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture28 Jun

Other references · 18

  1. 2024The Llama 3 Herd of Modelscited by 14,715
  2. 2025Qwen3 Technical Reportcited by 8,820
  3. 2024GPT-4o System Cardcited by 4,588
  4. 2025Gemma 3 Technical Reportcited by 1,824
  5. 2023Gemini: A Family of Highly Capable Multimodal Modelscited by 872
  6. 2023Large Language Models in Law: A Surveycited by 128
  7. 2025Command A: An Enterprise-Ready Large Language Modelcited by 59
  8. 2025The State of Multilingual LLM Safety Research: From Measuring the Language Gap to Mitigating Itcited by 45
  9. 2024Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challengescited by 42
  10. 2024Better Call GPT, Comparing Large Language Models Against Lawyerscited by 26
  11. 2025LLM-Powered AI Agent Systems and Their Applications in Industrycited by 22
  12. 2025The Multilingual Divide and Its Impact on Global AI Safetycited by 10
6 more
  1. 2024Caveat Lector: Large Language Models in Legal Practicecited by 6
  2. 2024Exploring the Nexus of Large Language Models and Legal Systems: A Short Surveycited by 6
  3. 2024Optimizing Numerical Estimation and Operational Efficiency in the Legal Domain through Large Language Modelscited by 5
  4. 2024Large Language Models for Judicial Entity Extraction: A Comparative Studycited by 4
  5. 2024Exploring Possibilities of AI-Powered Legal Assistance in Bangladesh through Large Language Modelingcited by 3
  6. 2023Justifiable Artificial Intelligence: Engineering Large Language Models for Legal Applicationscited by 2

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 2.

2 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2025Assessing the Reliability of Large Language Models in the Bengali Legal Context: A Comparative Evaluation Using LLM-as-Judge and Legal Experts
  2. 2026NyayaAI: An AI-Powered Legal Assistant Using Multi-Agent Architecture and Retrieval-Augmented Generation
  3. 2026NepKANUN: A RAG-Based Nepali Legal Assistant
  4. 2026Efficient LLM Distillation for Bangladesh Legal Context: A Smartphone-Compatible Retrieval-Augmented Generation Model
  5. 2024ALKAFI-LLAMA3: Fine-Tuning LLMs for Precise Legal Understanding in Palestine
  6. 2026LLM Agents in Law: Taxonomy, Applications, and Challenges
  7. 2023Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence
  8. 2025Lightweight Domain Adaptation of a Large Language Model for Legal Assistance in the Indian Context