AI for legal work.
Privilege preserved.

Document review, contract analysis and legal research — every leading model through one subscription, with client data that never leaves your own encrypted infrastructure.

Encrypted at rest & in transitData physically yoursIsraeli jurisdictionFull audit trail

Generic AI quietly
waives privilege

◆ Public AI tools
  • Client files sent to third-party servers
  • No audit record of what the AI saw
  • Disclosure may waive attorney–client privilege
  • Regulatory & malpractice exposure
◆ liracode.dev private AI
  • Client data never leaves your network
  • Every AI interaction is logged immutably
  • Privilege fully preserved end-to-end
  • Compliance & jurisdiction built in

The moment a privileged document is pasted into a public model, it leaves your control — and a court may treat that as a waiver. liracode.dev keeps inference on infrastructure you own, so the privilege your clients rely on stays intact.

Every model, on
your infrastructure

Data stays yours

Documents, vectors and databases live on physical disks in a certified Israeli data centre. No AI provider — and not even we — can read them.

All models, one subscription

Claude, GPT and Gemini via API, plus open models (DeepSeek, Llama, Qwen) self-hosted on Nebius GPU. Route each matter to the right model.

Privilege-grade controls

Per-matter access, tenant isolation and prompt-injection filtering keep one client's files from ever surfacing in another's query.

Defensible audit trail

Every query, document touch and token is logged with a tamper-evident hash — the record regulators and opposing counsel expect.

Three steps to
governed legal AI

01

We host your knowledge base

Pleadings, contracts and case files are ingested and indexed into a private vector store inside your environment — encrypted, with keys held only by you.

QdrantPostgreSQLEncrypted at restIsraeli DC
Step 01 · Active
In your environment
Provider · No access
02

We secure every request

Each query passes a Zero-Trust gateway: identity and matter checks, PII sanitisation, prompt-injection scanning and per-tenant filtering before any model ever sees it.

Zero TrustPII MaskingMatter IsolationCloudflare WAF
Step 02 · Active
In your environment
Provider · No access
03

You get governed answers

Responses come back with cited source chunks the user is cleared to see — then the whole exchange is written to an immutable audit log. One price, no DevOps.

Cited sourcesAccess-filteredImmutable logNo DevOps
Step 03 · Active
In your environment
Provider · No access

Built for the
scrutiny of legal work

Israeli data centre

Your disks sit in a certified facility — access control, video surveillance and backup power included. Data residency you can name in a contract.

Matter-level isolation

The vector store returns document chunks only after verifying the user's rights to that client and that specific matter.

Your keys, your encryption

Encrypted in transit and at rest with keys you hold. Even our engineers cannot read a single privileged page.

PII sanitisation

Names, IDs and contact details are masked before chunks reach any model, reducing exposure on every request.

Immutable audit trail

Every query and document touch is logged with a SHA-256 hash — a defensible record for regulators and the court.

GDPR & jurisdiction

Israeli jurisdiction with EU adequacy and full audit logging — compliance posture ready for due diligence.

0
Client files leaving your network
100%
AI interactions audit-logged
1
Subscription · all models
IL
Jurisdiction · EU adequacy

What law firms ask before they move

Does using AI on client documents waive privilege?

No. Documents are indexed and queried on infrastructure you own — privileged material never leaves your encrypted environment or reaches a third-party AI provider, so there is no disclosure to a third party that could waive privilege.

How do you stop one matter's documents leaking into another?

The vector store is matter-isolated: it returns document chunks only after verifying the requesting user's rights to that client and that specific matter, so a query on one matter cannot surface another client's files.

Can we produce an audit trail if a regulator or court asks?

Yes. Every query and document touch is logged with a SHA-256 hash, giving you an immutable, exportable record of who accessed what and when.

Which models can our lawyers use, and at what cost?

Every leading model is available through one subscription, and you can bring your own provider keys. PII such as names and IDs is masked before any chunk reaches a model.

Where does our data physically live?

On disks you own in a certified Israeli data centre with EU adequacy — a data-residency commitment you can name in a client engagement letter.

Stop choosing between AI and privilege

No generic slides. We'll walk through your firm's actual matters and show how private AI fits your compliance posture.

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