Library Q&A
Document Q&A done right for regulated, archival, and high-stakes work: multi-document, identity-aware, audit-logged, citation-verified — for legal, M&A, due diligence, research, and compliance teams.
What you get
Upload a document set — contracts, filings, research papers, due-diligence packages — and ask questions across it. Every answer is cited to the specific paragraph it came from. Every query is audit-logged. Permissions are enforced per document and per user role. Multi-document reasoning, not single-PDF chat.
What makes it different
ChatPDF clones are everywhere and most are toys. Library Q&A is what regulated teams need: identity-aware retrieval, audit trail on every query and every answer, citation contract that verifies the cited paragraph actually supports the claim, structured exports for evidentiary use, and governance from F6 baked in.
What it can do for you
Compress the time legal teams spend on contract review. Make M&A due-diligence document spelunking interactive instead of binder-flipping. Let research teams query their own corpus without re-reading every paper. Surface inconsistencies across documents the way humans never could at scale.
- Multi-document Q&A with cross-document reasoning
- Citation contract: every claim links to a verifiable passage
- Identity-aware permissions per document and role
- Full audit trail (who asked what, when, what was returned)
- Multi-language documents and queries
- Structured export for evidentiary or report use
- Redaction of PII in cited passages where required
- On-premise / private-cloud deployment option
Who it's for
Legal teams (contract review, regulatory analysis), M&A teams (due diligence, deal-room review), research teams (literature review, internal-paper queries), compliance teams (policy queries), and any team where the answer to 'what does this set of documents say about X' is currently 'someone has to read them all.'
How we ship it
Typical deployment is 3 weeks. Document ingestion, permission mapping, audit configuration, user training. On-premise deployments add 1-2 weeks for environment setup.
Questions people actually ask
How do we know an answer isn't a plausible-sounding invention?
Every answer is cited to the specific paragraph it came from, and the citation contract verifies that the cited passage actually supports the claim — not just that a source exists. If the documents don't answer the question, the system says so rather than filling the gap.
Can everyone on the team query every document?
Only if you set it that way. Permissions are enforced per document and per user role, every query and answer is audit-logged (who asked what, when, and what was returned), and PII in cited passages can be redacted where required. For the strictest environments there's an on-premise or private-cloud deployment option.
What does getting started look like?
A typical deployment is 3 weeks: document ingestion, permission mapping, audit configuration, and user training. On-premise deployments add 1 to 2 weeks for environment setup. On your side we need the document set, a map of who may see what, and a few pilot users.
Can we use the answers outside the tool — in a filing or a report?
Yes — structured export exists precisely for evidentiary and report use, with citations intact. And because Library Q&A runs on the owned stack, the ingested corpus and permission model remain yours; if your needs grow into a custom knowledge system, you graduate on the same foundation instead of re-ingesting everything elsewhere.
Frequently paired with
Related products
Your private knowledge corpus, exposed as a single MCP server — so Cursor, Claude Desktop, ChatGPT Desktop, and any MCP-aware AI client can read it directly, with governance and audit applied.
Continuous monitoring of regulated, contractual, or standards documents — alerts when something changes that affects existing workflows, vendors, or compliance posture, with the impact analysis already done.