AI Transparency
Nyrava uses AI-assisted analysis to accelerate legal workflows. This page describes how AI is used inside the platform and the limitations every user should understand before relying on any AI-generated output.
Where AI Is Used
AI is used to extract structured facts from documents, build timelines, cluster witness statements, surface potential contradictions, draft motions, and assemble reports. Each of these steps is a starting point for professional review — never a final product.
Evidence Grounding
Analyses are anchored to the documents you upload. Findings are presented alongside citations back to the source text so that a reviewer can verify each claim. When a finding cannot be grounded in the corpus, it is suppressed or gated rather than surfaced as fact.
Known Limitations
- AI models can make mistakes, miss context, or produce plausible-sounding but incorrect statements.
- Automated analysis is not a substitute for professional legal judgment.
- Users must verify all output against source documents and applicable law before relying on it.
- The system aims to avoid fabricating evidence or citations — if you encounter one, please report it.
Bring-Your-Own Provider Keys
You can configure API keys for AI providers you already use (OpenAI, Anthropic, Google, Groq, OpenRouter). When a personal key is active, requests for your workspace are routed directly to that provider under that provider's terms.
No Training on Your Content
Nyrava does not use your case content to train general-purpose models. When third-party providers process a request, their contractual data-handling terms apply to that request.
Reviewer Responsibility
Every output — timelines, motions, findings, reports — must be reviewed by a qualified legal professional before use in an actual matter. Nyrava is a tool for professionals, not a replacement for them.