Contracts, matter files, filings, and regulatory correspondence each hold part of your institutional knowledge. None of them holds the whole. LangOptima ingests the legal documentation you already have and connects it into a single knowledge graph — so clause exposure, obligations, and prior positions become questions answered in seconds, with a citation back to the source document.
A counterparty triggers a dispute, or a regulation changes, and someone asks which agreements are affected. In many legal teams, the answer is still: “Someone will have to read through them.”
Every contract, filing, and memo is self-contained. The document management system stores files, not the relationships between them — what one agreement establishes never reaches the next matter that needs it.
When a regulation changes or a counterparty position shifts, someone re-reads the portfolio to find which agreements carry the relevant clause. The work repeats for every new question, and the findings evaporate when the matter closes.
Renewal windows, indemnities, change-of-control triggers, notice periods — scattered across thousands of agreements in inconsistent language. A missed obligation is usually discovered at the moment it bites.
LangOptima ingests the legal documentation you already hold — contracts, matter files, case documents, regulatory correspondence — and structures the parties, clauses, obligations, dates, and defined terms inside them into a semantic knowledge graph. It sits above your document management system without replacing it, so a question that once meant a week of document review becomes a single query with source citations.
Contracts, matter files, filings, and correspondence unified at the semantic layer. Nothing moves. Nothing is replaced. Your document management system keeps doing its job.
Traverse from a clause to every agreement that carries a variant of it, from a counterparty to every matter it appears in, from a regulation to every obligation it touches — relationships no folder structure can hold.
“Which agreements carry this indemnity?” answered in seconds, each result citing the exact document and clause — instead of a week of manual review that starts from zero every time.
Every lawyer works with the institution's full memory behind them. New team members query years of negotiated positions and precedent from day one, instead of relearning them matter by matter.
Representative scenarios of how legal teams apply a knowledge graph over their documentation — illustrative of the pattern, not published client references.
An in-house team facing a transaction needs to know which of its agreements carry change-of-control triggers or uncapped indemnities. With the portfolio connected in a knowledge graph, the review becomes a query across structured clauses — each hit citing the agreement, the clause, and the counterparty — rather than a document-by-document read.
A regulatory change lands and the team needs to know where it applies. Because obligations, defined terms, and parties are structured in the graph, the question runs as one traversal — from the regulation's subject matter to every affected agreement — with a source trail an auditor or regulator can follow.
However complex the document landscape underneath, the engagement itself stays simple.
We ingest the documents you already hold, straight from the systems you already run. Nothing is replaced — your teams keep working where they work today.
A scoped 8–12 week pilot structures your first decision context. Your domain experts contribute the knowledge; we do the engineering.
You start asking the questions — and every answer carries a citation back to the source, so you can check it yourself.
A 30-minute conversation about your document landscape — which systems hold your agreements and matters, and what a connected view of them would answer first. No deck, no pitch.