Identify key individuals and relationships across your documents

Evidence-grounded answers with cited sources and relevance scores

How it works
AI Chat uses retrieval-augmented generation to search your documents, assemble relevant context, and produce grounded answers.
Ask a question
Type a question in natural language — "What communications mention the merger timeline?" or "Summarise the key concerns raised by the finance team." The system searches your entire document set to find relevant passages.
Context assembly
Relevant document passages are retrieved and assembled into a context window. The local LLM processes this context to generate an answer grounded in your actual data — not general knowledge.
Cited answers
Every answer includes citations linking back to specific documents and passages. Click through to the source to verify, review the surrounding context, or continue the conversation with follow-up questions.
What makes this different
Runs on a local LLM — your document data never leaves your environment
Every answer cites specific documents and passages — no hallucinated references
Works across your entire matter, not just individual documents
Auto-generated summaries for every document on upload, available without asking
Follow-up questions maintain conversation context for deeper exploration
Included with all plans — LLM summaries are free, chat billed per 1K messages