DATDAT-001 — Data Quality and Completeness Issues
LLM Safety Failures Expose Legal Platforms to Harm and Liability
4/5Sector: LegalGeography: GlobalStage: OperateIngested: —
Executive Summary
Large language models deployed in legal contexts risk generating unsafe, illegal, or privacy-violating outputs that directly harm users. Firms face significant reputational damage and regulatory liability if governance frameworks fail to mandate rigorous safety evaluation before deployment.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
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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