Semantic search with cited clauses across your whole repository, a desk of the twelve questions buyers run most, review tables that answer the same question across every contract at once, and a workroom that turns any finding into a drafted email or a project plan.
The answer to what is our total liability exposure or which contracts auto-renew in Q3 is sitting in a shared drive full of PDFs nobody can query. Finding it means opening files one at a time. Document intelligence turns the drive into something you can ask a question.
Upload, and the AI reads, indexes, and stands ready to answer.
Single, bulk, and CSV-imported uploads with status tracking, filters, and bulk actions. Drop a folder of 300 legacy PDFs and have a searchable library by lunch.
AI pre-extracts vendor, dates, amounts, and terms; low-confidence fields go to a human review queue. Trust the vendor, value, and end date on every record without typing them.
Ask the same question across your whole estate at once. Cited answers land in a grid, exportable to CSV or XLSX. Ask "what is our liability cap?" across 500 contracts and export it.
The desk of the twelve questions buyers run most, premade briefs written unattended, a shared work list, and a workroom that turns any finding into drafted emails or a project plan.
Search runs on Voyage AI embeddings in pgvector, re-indexed nightly, so a query for indemnity finds the clause even when the contract calls it something else. Every answer is grounded in the source document and anchored to the clause it came from, so you can click through to the paragraph, not just trust a summary.
Search is only useful if the answers are grounded and the documents are safe.
The repository is embedded with Voyage AI and indexed in Postgres pgvector every night, so new uploads are searchable the next day without a manual step.
AI extraction pre-fills every record, but fields it is unsure of route to a person to confirm, so the structured data you filter and report on is reliable.
Answers are anchored to source clauses, so a review table is auditable: every cell links back to the paragraph it came from.
Documents live behind row-level security, every view and download is logged with actor, IP, and user agent, and downloads use short-lived signed URLs.
Secure project rooms with private share links, plus deal-grade review that generates a risk register, so you can hand an acquirer a clean register instead of a folder dump.
Answering a portfolio-wide legal question used to mean one person opening hundreds of PDFs and building a spreadsheet by hand. Now it is one question and an exported grid.
Estimate your own hours →Enterprise search and generic AI both fall down on the two things that matter here: citations and domain fit.
Keyword search returns a list of documents to open. Semantic search here returns the clause, cited, and can answer the question across all of them at once.
A generic tool will summarize confidently and cite nothing. Every answer here anchors to the source clause, so a legal team can verify it.
Opening PDFs one at a time to fill a tracker is exactly the manual work this removes. Ask once, export the grid, move on.
One line for the board paper, and the day to day the team actually feels.
Cited answers across every contract you own.