How General Counsel Can Tame AI Litigation and Compliance Risk
This article discusses the legal risks and compliance challenges that in-house legal teams face as AI systems become core infrastructure before regulations are settled. It outlines key risks and turns them into technical and governance controls that engineers can implement.
Why it matters
As AI systems become core infrastructure in legal workflows, general counsel must proactively address the unique litigation and compliance risks to avoid sanctions, class actions, and regulatory investigations.
Key Points
- 1AI systems like language models can hallucinate and fabricate citations, leading to sanctions and disciplinary actions against lawyers
- 2Liability for AI-generated errors rests with lawyers and law departments, not vendors, creating a 'quasi-strict liability' situation
- 3Risks span sanctions, malpractice, regulatory enforcement, employment discrimination, and privacy/data security
- 4Public sector guidance on LLM risk assessments, data governance, transparency, and human oversight can be adopted as a compliance framework
Details
The article explains that language models like large language models (LLMs) can hallucinate and fabricate citations, even in domain-specific legal AI tools. This creates structural model risk that lawyers cannot control directly. Recent court cases have shown AI-generated fabricated citations being entered into the record, leading to sanctions and disciplinary referrals against lawyers. Meanwhile, public sector guidance like from NIST is establishing de facto standards for AI risk assessments, privacy controls, transparency, and human oversight. The regulatory landscape is also fragmented, with federal efforts sometimes preempting state rules, while states like California and Colorado adopt aggressive AI disclosure and employment obligations. For lawyers and legal departments, this creates exposure across sanctions, malpractice, regulatory enforcement, employment discrimination, and privacy/data security - even before leadership knows which AI tools are in active use.
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