Zuva API: Features, Software Overview & Case Studies

LLMs are expensive per page, inconsistent across runs, and prioritize plausible answers over exhaustive recall. Zuva's purpose-built ML is consistent and cost-efficient for large-scale clause extraction. The recommended approach is to use Zuva to locate relevant provisions, then pass them to an LLM for interpretation.

Yes. The models are data-efficient and support out-of-the-box self-hosting on Azure or AWS. For large enterprise needs, deployment in other environments can be arranged. Cloud-hosted options run on Azure in the US or EU, with the customer controlling data retention policy.

The pay-as-you-go plan requires a $5,000 minimum commitment. The free tier has no commitment, resets daily, and allows thorough API testing without a credit card. Bulk discounts and flat-fee arrangements are available for higher volumes.

Generic RAG uses topic-similarity search, which can miss legally significant provisions or return irrelevant text. Zuva's extraction is trained specifically on legal provisions and recognizes clause types even when phrased unusually, making it a more accurate retrieval layer for contract work than general vector search.