Contracts Are Crucial for AI Governance and Risk Management
Legal experts highlight AI-specific contract clauses as key governance and risk tools.
Why it matters: Why it matters: As AI’s legal risks grow, tailored contracts provide enforceable governance measures beyond policy frameworks, helping legal professionals manage compliance and liability effectively.
- National Law Review (2023) stresses embedding AI governance directly in contracts.
- LawXAI (2023) identifies five vital AI contract clauses covering data, risk, outputs, confidentiality, and regulation readiness.
- AI Governance Institute outlines AI contract maturity levels from initial to optimized compliance stages.
- GSA proposed clause GSAR 552.239-7001 (2023) for federal AI procurement focuses on transparency, testing, and avoiding vendor lock-in.
AI governance extends beyond policy debates; contracts serve as practical tools for managing AI-related risks and responsibilities. The National Law Review emphasized in 2023 that embedding AI-specific governance provisions directly into contracts is vital for legal enforceability.
Legal consultants at LawXAI recommend five key clauses for AI contracts, addressing:
- Training data provenance and licensing to verify sources and rights,
- Model risk management aligned with the NIST AI Risk Management Framework to control AI system risks,
- Clear ownership of AI outputs and customer indemnifications for liability,
- Confidentiality paired with zero-data-retention provisions to protect sensitive data,
- Provisions for regulatory adaptability, such as compliance with the EU AI Act.
The AI Governance Institute describes a maturity model for AI contractual requirements, ranging from contracts lacking AI clauses to those that are continuously updated to reflect evolving laws by 2023.
The federal government’s General Services Administration proposed contract clause GSAR 552.239-7001 in 2023 to incorporate AI governance components into federal procurement. This clause emphasizes transparency, extends government testing authority, and includes measures to reduce vendor dependency—potentially serving as a model for other sectors (GSA draft clause analysis).
Practitioners highlight that AI contracts differ from traditional software agreements due to the evolving and unpredictable nature of AI models. John Montague, Esq., explains that AI contracts must address models that learn over time and produce outcomes that can vary with each interaction, challenges that standard licensing frameworks do not cover (Montague AI contracts).
Incorporating tailored AI clauses equips legal teams with actionable mechanisms to enforce governance, address regulatory risks, and define responsibilities clearly—crucial as organizations expand AI deployment across industries.
By the numbers:
- 5 AI contract clauses identified by LawXAI — key governance areas to include
- 2023 — year National Law Review and GSA proposed important AI contract guidance
- 552.239-7001 — GSA’s specific AI contract clause number for federal procurement
Yes, but: While contract clauses help manage AI risks, rapidly evolving AI technologies and regulation require ongoing updates to contractual provisions to remain effective.
What's next: Expect broader adoption of AI contract standards and regulatory updates as AI governance frameworks mature.