Research on analyzing Mongolian legal documents using AI

• Project/Area Number: 25K15821
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 90020:Library and information science, humanistic and social informatics-related
• Research Institution: Ritsumeikan University
• Principal Investigator: 美龍 硬幸 立命館大学, 文学部, 授業担当講師 (30725396)
• Project Period (FY): 2025-04-01 – 2029-03-31
• Project Status: Granted (Fiscal Year 2025)
• Budget Amount: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000); Fiscal Year 2028: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000); Fiscal Year 2027: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2026: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000); Fiscal Year 2025: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
• Keywords: deep learning / legal documents / text classification / Mongolian

Outline of Research at the Start

This research aims to develop an AI system to analyze Mongolian legal documents, allowing users to make decisions by interacting with the AI and viewing AI-suggested decisions along with supporting information. Specifically, this research will propose AI methods to identify conflicts in legal documents by: 1) analyzing inconsistencies and conflicting terms or definitions, and 2) predicting errors, missing parts, or incorrect terms.