HUMHUM-003 — Human-AI Collaboration Design Flaws
LLM Hallucination Risk in Legal Applications
4/5Sector: LegalGeography: GlobalStage: OperateIngested: —
Executive Summary
Large language models routinely produce factually incorrect, inconsistent outputs with unwarranted confidence, a pattern directly incompatible with legal standards of accuracy. Firms deploying these tools without robust verification controls face professional liability, regulatory censure, and erosion of client trust.
Domain
Human Factors
Blindspots in change management, skills, human-AI collaboration, trust, workforce, and culture.
Source
MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024) ↗https://airisk.mit.edu/
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