Conceptio › Archive › Figshare
Figshare open access CC BY 4.0

Table 1_Fact construction as a missing layer in legal AI: a practice-grounded framework for evaluating multi-agent legal consultation.docx

Hsuan-Lei Shao (26061600) et al.
Figshare · Datasets · License: CC BY 4.0
Open Source ↗
human-ai-interactionlarge-language-modelsmulti-agent-systems
Legal AI research often evaluates large language models (LLMs) on legal reasoning tasks under the assumption that relevant facts are already structured and available. This assumption overlooks a prior and practically consequential stage of legal work: fact construction, namely the transformation
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

Record · ID 1390307
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