PRIVATE AI INFRASTRUCTURE FOR LAW FIRMS

Use AI on confidential legal work.
Keep the data inside your firm.

LexDeploy designs, deploys, and manages private AI environments for legal practices that require data sovereignty, matter isolation, and verifiable answers.

No external AI API required Firm-owned infrastructure Cited, auditable answers
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01 / THE PROBLEM

Cloud AI can be excellent.
For some legal matters, sending the data out is the problem.

Client documents may carry confidentiality obligations, contractual restrictions, internal AI policy requirements, or simply a risk profile that makes external processing undesirable.

LexDeploy gives the firm another option: run the AI, retrieval system, document index, and governance controls on infrastructure the firm controls.

WHAT LAWYERS GET

A useful legal assistant should not ask you to choose between capability and control.

01

Ask across firm knowledge

Find clauses, obligations, definitions, amendments, and precedent across authorized matter documents without moving those documents to an external AI provider.

02

Verify every answer

Answers are grounded in retrieved source material and linked back to deterministic document, page, section, and chunk provenance.

03

Respect ethical walls

Identity and matter authorization are applied before retrieval, so semantic search cannot cross into matters the user is not permitted to access.

02 / ARCHITECTURE

The intelligence stays close to the evidence.

A model-agnostic private RAG platform built around access control, retrieval quality, provenance, and operational isolation.

FIRM-CONTROLLED ENVIRONMENT
01Firm documentsDMS · file server · approved repositories
02Authorization + retrievalIdentity · matter ACL · hybrid search · rerank
03Local AISelected open-weight model · private inference
04Cited answerSource document · page · section · audit trail
EXTERNAL AI PROVIDERNO CLIENT CONTENT REQUIRED×
MODEL-AGNOSTIC

The generation model can change as stronger local models emerge. The firm's knowledge and governance layer remain.

PROVENANCE FIRST

Citation identifiers are generated by the application from stored document metadata—not invented by the model.

RETRIEVAL BEFORE GENERATION

The system narrows the evidence first, then asks the model to reason over the authorized passages that matter.

03 / SECURITY MODEL

Data sovereignty does not mean giving up maintainability.

For most firms, LexDeploy uses controlled remote administration that is separated from the legal-data path. We can monitor health, restart services, and deploy tested releases without routinely exposing document content, prompts, or answers.

TWO DEPLOYMENT MODES
MAXIMUM ISOLATIONFully Isolated

No persistent remote management path and no external telemetry. Designed for environments where administrative isolation is itself a requirement.

  • No persistent internet connection required
  • Signed offline release packages
  • Customer IT or scheduled on-site maintenance
  • Local-only monitoring and audit trail
  • Scoped separately due to operating model
01
Firm-controlled infrastructure
02
No external AI API required
03
SSO / directory integration
04
Matter-level retrieval ACLs
05
Encrypted storage and backups
06
Auditable administrative access
07
Sanitized operational telemetry
08
Signed, validated model updates
04 / PROOF BEFORE PURCHASE

Start with your workload, not our sales pitch.

We build a controlled proof of concept on existing or temporary infrastructure, evaluate representative legal tasks, and use the results to determine whether production deployment makes sense.

Discuss a POC
POC SCORECARDIllustrative test categories
RetrievalRecall@K · clause discovery · negative queries
AnswersCorrectness · completeness · unsupported claims
CitationsSource correctness · coverage · deep-link provenance
SecurityUnauthorized retrieval · matter isolation · injection tests
Performancep50 / p95 latency · concurrency · throughput
$0Initial proof of concept
05 / COMMERCIAL MODEL

Clear economics. Scoped where complexity is real.

No per-query or token charges for local inference. The firm owns its production hardware.

PROOF OF CONCEPT
$0

Controlled evaluation before a production commitment.

PRODUCTION IMPLEMENTATION
from$12,500

Final scope depends on document-system integration, identity, matter-access controls, deployment topology, and selected security mode.

MANAGED PRIVATE AI
$1,750/mo

Managed platform for up to 10 authorized users. Hardware purchased and owned directly by the firm.

WHAT CHANGES IMPLEMENTATION SCOPE
Standard file repository ↔ iManage / NetDocuments
Simple SSO ↔ complex ethical walls
Managed Sovereign ↔ Fully Isolated
Single node ↔ HA / DR requirements
SOLUTION & ARCHITECTURE BRIEF

Take the deeper technical brief with you.

The brief covers the private deployment model, RAG and citation path, matter isolation, managed operations, proof-of-concept methodology, implementation scope, and commercial model.

15-page decision briefSecurity + architecturePOC + pricing
Private Legal AISolution & Architecture Brief

We use a short Google Form for initial lead capture instead of a CRM. No phone number is required.

REQUEST THE BRIEFResponses are recorded in our lead sheet.
Submit the short form above, then use the download button. The initial version intentionally avoids marketing-email automation and tracking pixels.
LET'S TEST IT

Could private AI work for your firm?

Start with a focused conversation about your confidentiality requirements, document environment, and the legal tasks worth testing.

Request a private AI assessment No production hardware purchase is required to begin the POC.