From generic AI to legal-specific AI: why law firms switch | Zeno

Why generic AI is often the first step 

Many lawyers start experimenting with generic AI tools to explore what AI can do. These tools are accessible, fast, and useful for brainstorming or summarising non-sensitive content. 

However, once AI is used for substantive legal work, limitations quickly appear.

The risks of generic AI in legal practice 

Generic AI tools are not designed for professional legal environments. Common risks include: 

• No verifiable sources: outputs cannot be traced back to legislation or case law

• Jurisdictional blind spots: models are not tailored to Dutch or EU law

• Compliance uncertainty: unclear data processing and storage 

• Reputational risk: lawyers remain fully responsible for incorrect output For exploratory use this may be acceptable. For client work, it is not.

Why firms switch to legal-specific AI 

As firms mature in their AI use, they increasingly adopt legal-specific AI tools that are purpose-built for legal workflows. These tools typically provide: 

• Access to trusted legal databases 

• Jurisdiction-aware reasoning 

• Transparent source references 

• Security and compliance guarantees 

This transition reflects a broader market insight: experimentation leads to specialization.

Best practice: experimentation followed by specialization

Leading firms often follow a clear path: 

1. Explore AI with low-risk use cases

2. Identify legal-specific requirements

3. Select a tool designed for professional legal work

This approach reduces risk while enabling innovation. 

Conclusion 

Generic AI can be a starting point, but it is not suitable for professional legal output. Law firms increasingly move toward legal-specific AI solutions to ensure quality, trust, and compliance. 

Looking to move from experimentation to professional Legal AI? Discover how Zeno delivers verifiable, compliant AI for legal practice.