Zanus AI for Law Firms
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ZANUS AI FOR LAW FIRMS — CASE FILES

Ask the file. It answers, cited.

Pleadings, discovery, deposition transcripts, contracts, the firm’s precedent bank — loaded into curated libraries the AI reads from. Ask in plain language; get the answer with the document and page attached, scoped to who is allowed to ask.

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Private tenant or your own server · unlimited users · privilege-conscious architecture

Matter document libraries with priority order

Libraries in priority order: executed agreements outrank drafts, current precedents outrank superseded ones.

What it does

Any format a firm accumulates

PDFs, Word, scanned exhibits, faxed correspondence from 2009, hearing audio — the ingestion pipeline turns the banker’s boxes into queryable knowledge.

No source, no claim

The AI cites the pleading, the transcript page, the contract clause — or says the answer is not in the file. In litigation, an invented citation is malpractice fuel; here it is structurally blocked.

Walled by matter, shaped by role

The paralegal on the matter sees the matter; the associate on the other side of an ethical wall sees nothing — enforced server-side, not by folder etiquette.

Institutional memory, one question away

“Have we ever litigated against this expert?” “What did we argue in the 2021 non-compete appeal?” “Which engagement letters contain the arbitration clause?” The firm’s history answers in seconds with documents attached — instead of depending on which partner remembers.

  • Plain-language questions across decades of matters
  • Source documents attached to every answer
  • Priority order: executed and current versions win
Vector store answering from firm files and precedents
Legal tech is priced per attorney seat, research is metered by the search, and the AI tools live in yet another login — while intake calls go to voicemail and associates spend billable evenings summarizing depositions by hand. Zanus AI: intake, drafting support and the firm’s whole knowledge in one system — unlimited users, flat price, privilege-conscious by architecture, in your private tenant or on a server the firm owns.

Questions, answered

Who can see a matter’s documents?

Only the roles and workgroups you authorize — ethical walls are workgroups, permissions reach the field level, and the server redacts what a user cannot see, even in shared calendars and searches.

Do our files train outside models?

Never. Your tenant is isolated; the firm’s knowledge is the firm’s alone — and the on-premises option keeps it physically inside your office.

See it working on YOUR firm — the demo IS the product.

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