On-premises
Models and working documents can run on approved firm hardware, subject to the agreed security and support model.
Private Off-Grid AI for Law
Give lawyers faster access to firm knowledge while keeping control visible.
One offer, three controlled layers
Build the knowledge, infrastructure, and review discipline together.
The firm begins with approved knowledge and a defined use case. Infrastructure and wider access follow only when ownership, permissions, and review capacity are ready.
- 01
Law Firm Brain
Organize approved precedents, templates, matter knowledge, internal guidance, decisions, and source links around clear ownership.
- 02
Private AI boundary
Define where information lives, who can access it, which services can touch it, and how the firm will maintain the environment.
- 03
Lawyer review and capability
Train the people who use and own the workflow. Keep source verification, escalation, and final judgment with authorized lawyers.
Approved use cases
Support document work that already requires a lawyer's judgment.
A pilot stays within selected workflows and collections. Firm-wide access is never assumed.
01
Search selected precedents, templates, guidance, and matter collections
02
Summarize long pleadings, contracts, board papers, and approved folders
03
Build chronologies from selected source material
04
Compare clauses, templates, and precedent language
05
Prepare first-pass internal notes and client-update drafts
06
Return source references where the approved workflow supports them
Possible deployment boundaries
Fit the private environment to the firm's operating reality.
On-premises, isolated, and air-gapped systems carry different costs, risks, and maintenance demands. The readiness review determines which posture Aizen can responsibly support.
Isolated network
AI services can operate inside a segmented network with defined user access, firewall rules, and controlled administration.
Air-gapped
The environment has no live internet connection. Models, updates, and approved data require a documented offline process.
Acceptance testing
Close the pilot on evidence the firm can inspect.
Tests should match the approved use case, document set, information boundary, hardware, failure behavior, and support model.
Source traceability
Answers point to the correct approved source, page, or excerpt where the workflow supports it.
Access boundaries
Users cannot retrieve documents outside their assigned matter, collection, or role.
Document handling
Representative files parse correctly, and failed ingestion remains visible for review.
Failure behavior
The system shows uncertainty, missing evidence, and escalation points instead of hiding them.
Handover
Administration, backup, restore, maintenance, and user responsibilities are demonstrated before closeout.
Professional boundaries
Private deployment keeps professional responsibility with the firm.
Better control over knowledge and infrastructure does not remove model risk, legal duties, or the need for qualified review.
- AI output remains draft work product until an authorized lawyer reviews it.
- Court citations, quotations, and legal propositions require independent source verification.
- Client and matter access rules must be defined before collections are opened to users.
- The service does not replace legal advice, professional judgment, or the firm's compliance duties.
- Privacy, privilege, retention, cybersecurity, and client-consent decisions remain with the firm and its qualified advisers.
Start with the firm boundary
Map the knowledge, access, and review rules first.
Share the firm size, current document environment, and first workflow worth assessing. Do not send client files or privileged material through this form.