OpenAlex
metadata only
CC BY 4.0
Automating IRAC Analysis in Malaysian Contract Law using a Semi-Structured Knowledge Base
Abstract The effectiveness of Large Language Models (LLMs) in legal reasoning is often limited due to the unique legal terminologies and the necessity for highly specialized knowledge. These limitations highlight the need for high-quality data tailored for complex legal reasoning tasks. This paper i
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Technical evaluation of language models adapted for the automation of legal contracts: clause extraction, classification, and summarization.#800
- Leveraging LLM agents and knowledge models for automated legal reasoning#1178520
- Essay on the use of the concept of legal fact by AI/ALGORITHM/S technology#1177931
- Code-as-Auditor: Executable Compliance Reasoning via Regulation-to-Code#1013799
- Code-as-Auditor: Executable Compliance Reasoning via Regulation-to-Code#978500
Record · ID 1067516
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive