Legal AI Needs More Than General Knowledge

Our latest research partnership clearly shows: General AI models reach their limits as soon as legal questions fall outside their 'jurisdictional comfort zone'.

Why Generic Models Fail

It has become common to use generic AI models for legal tasks. However, legal thinking is never universal – it is inseparably linked to a specific legal system, language, and the precedents that apply there.

The Proof: LEXAM Benchmark

The LEXAM Benchmark – with 1,660 multiple-choice and 2,867 open exam questions – demonstrates: The accuracy of models drops significantly when it comes to specific questions of individual legal systems.

Omnilex: Jurisdiction-Specific from the Start

That is precisely why we developed Omnilex with a focus on jurisdiction from the beginning. When it comes to Swiss and German law, Omnilex outperforms all models and legal AI products we have tested so far – and we are further scaling this precision.

Conclusion: Those Using Generic AI Have a Precision Problem

If your law firm has so far relied on general AI, it is time to reconsider the foundation.