Companies × risks
Wolters Kluwer
Wolters Kluwer deploys generative AI and LLMs across its vertical information products in health, legal, and tax domains, including integrations with Microsoft Copilot Studio and Azure OpenAI. Its approach emphasises retrieval-augmented generation grounded in verified proprietary content rather than training its own foundation models.
We reviewed 5 public documents from Wolters Kluwer and found it acknowledges 3 of 24 AI risks, including false information and competitive dynamics.
Sector: Information
Roles: AI deployer; Specialized AI developer
AI risks Wolters Kluwer acknowledges
- False information: “The key to reaping the benefits of AI while avoiding its pitfalls (from hallucinations to security concerns)” (Wolters Kluwer eBook: How to make AI responsible, reliable, and secure)
- Competitive dynamics: “some vendors may be tempted to cut corners or skip steps in the name of staying competitive” (Wolters Kluwer eBook: How to make AI responsible, reliable, and secure)
- Transparency & interpretability: “AI can often feel like a "black box.” (Responsible and reliable AI in legal: Wolters Kluwer's principles)
Documents we reviewed
- Responsible and reliable AI in legal: Wolters Kluwer's principles (AI overview & principles, 2025)
- Wolters Kluwer eBook: How to make AI responsible, reliable, and secure (Other, 2025)
- Building trust in legal AI: Wolters Kluwer's blueprint for responsible AI (AI overview & principles, 2025)
- Wolters Kluwer 2024 Annual Report (Annual report, 2025)
- Wolters Kluwer Artificial Intelligence (AI) Principles (AI overview & principles, 2025)