Private Legal AI for Law Firms

Use AI on sensitive matters. Privately.

Venance runs inside your firm's environment, so legal teams can ask questions across matter documents without sending client data to third-party AI servers.

On-prem deployment · Matter-level isolation · Source-cited answers

Privacy
Data stays inside the firm
Verifiable
Answers include source references
Isolation
Each matter has its own index
Built for
Sensitive legal work
Product

Private AI, built around the matter.

Every workflow starts inside a matter. Documents, questions, answers, and citations stay scoped to that matter.

01

Upload matter documents

Contracts, pleadings, depositions, correspondence, and exhibits are indexed locally.

02

Ask plain-language questions

Search across the matter without manually opening every file.

03

Verify every answer

Responses include document and page references so attorneys can check the source.

Coming soon

Guided workflows built on the same private, source-cited foundation.

Memo drafting

Generate first-draft memos grounded in the matter's record, with every assertion linked to its source.

Deposition prep

Surface inconsistencies, prior statements, and exhibit references across the deposition set.

Case summaries

Produce concise matter summaries with citations attorneys can verify in seconds.

How it works

From documents to cited answers in four steps.

01

Deploy locally

Install Venance inside the firm's environment on hardware you already own.

02

Create a matter

Each case or client workspace gets a separate document index.

03

Ask questions

Attorneys query the matter in plain language.

04

Verify sources

Every answer links back to the source document and page.

Why Venance

Built for firms that cannot lose control of client data.

Generic AI tools can be useful, but sensitive legal work requires a different posture. Venance keeps documents, prompts, and outputs inside infrastructure the firm controls.

No third-party AI upload

Documents and prompts are not sent to external model providers.

Matter-level separation

Each matter stays isolated, reducing the risk of cross-client leakage.

Source-verifiable output

Answers are grounded in the documents attorneys can inspect directly.

Capability
Cloud AI
Venance
Client documents leave firm
Varies by provider
No
Matter-level isolation
Varies by provider
Designed for
Source citations
Varies by provider
Document & page
Local deployment
No
On-premises
Security & deployment

Designed to run where the documents already live.

Venance deploys inside the firm's environment, with local inference, matter-scoped retrieval, and an auditable activity trail.

01 · Local

Local inference

AI runs inside the firm's infrastructure.

02 · Quiet

No telemetry

No product analytics or hidden data collection from client documents.

03 · Audit

Audit trail

Uploads, queries, and access events can be logged for review.

04 · Deploy

On-premises install

A controlled install path for firm-owned environments.

FAQ

The questions firms ask before they pilot.

Where does our data go when we use Venance?

Nowhere. Venance runs entirely on hardware inside your firm — a machine you control. Documents, prompts, embeddings, and model responses never leave that machine. There is no Venance cloud, no external inference endpoint, and no telemetry on matter content.

Can the model hallucinate cases or invent citations?

Every answer Venance returns is grounded in documents you uploaded to that specific matter, and every claim is linked back to the exact source file and page. If a fact isn't in your matter set, the model is instructed to say so rather than fabricate. Attorneys verify against the cited source — the same way you'd check a junior associate's memo.

Is client data from one matter ever mixed with another?

No. Venance enforces matter-level isolation. A query inside Matter A can only retrieve from Matter A's document set. There is no shared embedding pool across clients, and no cross-matter context leakage by design.

What about our duty of confidentiality and Model Rule 1.6?

Because inference is local, using Venance does not involve disclosing client information to a third-party service provider. There is no vendor-side access to prompts or documents, which materially simplifies the confidentiality analysis compared to cloud-hosted AI tools.

What does Venance actually do — research, drafting, review?

Venance is built for working across a matter's document set: asking questions, surfacing relevant passages, comparing positions across exhibits, and producing source-cited summaries. It is counsel-directed — designed to accelerate the work attorneys are already doing, not to generate unverified legal opinions.

Workflow extensions for memo drafting, deposition prep, and case summaries are in active development with our pilot firms.

How do we audit what the AI was asked and shown?

Every query and every document access is SHA-256 logged locally. Firms can produce a complete record of which user asked what, against which documents, and which sources the model cited — useful for supervision, ethics review, and discovery defensibility.

Will this replace our associates or paralegals?

No. Venance compresses the time spent locating and synthesizing information across thousands of pages. The legal judgment, strategy, and final work product remain with your attorneys. Firms in our pilot use it to free senior time for higher-leverage work, not to reduce headcount.

What hardware and setup is required?

Minimum 8 GB of unified memory; 16 GB or more recommended for larger matters. No cloud account, no GPU procurement, no IT overhaul — most pilots are operational within a day.

Bring private AI into sensitive legal work.

See how Venance can run inside your firm's environment and help attorneys work across matter documents with source-cited answers.

Short intro first. Walkthrough on your timeline.