Private AI control plane for law firms

AI on your matters,
inside your firewall.

Run open-source models on your contracts and matters. Isolated, access-controlled per matter, and fully audited.
Privileged data never leaves the firm.


Common Use Cases

AI that respects attorney-client privilege

Privileged data can't go to a cloud API, so it never does. Models run on the firm's own network, access-controlled per matter, with an audit trail of every query for your risk and ethics reviews.

Where Most Firms Start

Contract review & clause extraction

Run open-source models against your contract repository to surface key clauses, deviations, and risk language. Real business value, no privileged data leaving the firm.

Common follow-ons
  • Matter intake & summarization
  • Brief & memo drafting
  • Deposition prep
  • Conflict checks
  • Due diligence acceleration
  • Citation checking

Stop renting your AI

Own the models. Own the controls.Own the controls

A control plane that runs your models and agents on the firm's own network. Isolated, observable, and access-controlled.

Isolated by design

Privileged data never leaves the firm. Models run fully offline, with no phone-home or telemetry, behind a firewall locked to the hosts you authorize, on least-privilege accounts. The cloud is never in the loop.

Isolate

One pane of control

Run and route your models and agents from a single dashboard. See what's live, swap models, and manage capabilities, without exposing the backend.

Audit trail, per matter

Every query and data touch is logged: who ran what, when, and against which matter. The record your risk and ethics review actually asks for.

Govern

Access control

Per-attorney and per-matter permissions. Decide exactly which people and which agents can touch a given matter, and revoke it in one place.

Run it your way

Runs on the hardware the firm already owns, or on-prem gear we spec, source, configure, and customize to your needs. No per-token bill.

Operate

How we work with you

Start small. Scale on your terms.

Three steps, each standalone. Begin with an assessment. No commitment required.

Needs assessment

We map your matters and data flows, then deliver a reference architecture for air-gapped AI, a risk report, and a clear go/no-go. Fixed scope, ~1-2 weeks.

Start here

Control-plane install

We deploy the full control plane on the firm's hardware, with model and agent orchestration, the management dashboard, and per-matter isolation enforced end-to-end.

One-time

Managed governance

Optional and ongoing: we keep the control plane patched and monitored, review the audit logs, and manage per-matter access, so you stay defensible without adding headcount.

Optional / Ongoing

Estimated Monthly Cost

~1B tokens / month inference

  • Frontier cloud API $5,800
  • Standard cloud API $1,400
  • Self-Hosted (electricity) $180
NthGear vs Frontier ~32× lower

Illustrative. Varies by workload, hardware, and region.

Our Approach

Your models.
Your matters.
Your data stays put.

Every prompt to a cloud API is privileged data leaving the firm. The math doesn't get better at scale. It gets worse, and so does the obligation.

We right-size the NthGear control plane to the servers the firm already has. Need more capacity? We'll spec and build out on-prem hardware sized to your caseload. After setup, inference runs at the cost of electricity.

NthGear custom-builds an AI architecture that fits your firm and hands you the reins. No subscriptions on inference. No vendor lock-in.


Get Started

Let's build

Tell us about your environment and what you want to run. We'll map the path to reclaiming data sovereignty.