Security

Your Infrastructure.
Your Rules.

AtlasAI doesn’t ask you to trust our security. It runs inside yours. Every deployment inherits the policies, controls, and compliance posture your firm has already built.

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How We Protect Your Firm

Deployed Inside Your Perimeter

AtlasAI runs entirely within your firm’s Azure tenant. There is no external hosting, no shared compute, and no data leaving the environment your IT team already controls. The attack surface is yours to define.

Inherits Your Compliance Posture

Because AtlasAI operates inside your infrastructure, it inherits every policy you’ve already implemented—retention rules, DLP policies, conditional access, network segmentation. We don’t replace your controls. We operate within them.

Zero Data Exposure to Third Parties

Client data, work product, prompts, and AI outputs never leave your firm’s environment. No third-party vendor ever sees your data. No model provider receives your inputs. Privilege is maintained at every layer.

Your Models. Isolated.

Every firm gets dedicated model instances running inside their own subscription. There is no shared inference, no multi-tenant processing, and no possibility of data leaking between organizations. Your AI is yours alone.

Contractually Binding Protections

Our deployment agreement includes enforceable terms on data isolation, access restrictions, incident notification timelines, and ongoing compliance obligations. These aren’t marketing claims—they’re auditable contractual commitments.

Continuous Validation

We engage independent security firms to perform regular penetration testing and architecture reviews against our platform. Results are shared directly with deploying firms. We don’t ask you to take our word for it.

Compliance you don’t
have to build around

AtlasAI is architected to operate within the compliance frameworks your firm has already established. Because we deploy inside your environment, certification alignment is inherited by design—not bolted on after the fact.

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SOC2 II
Details
CCPA
Details
ISO
ISO 27001
Details
GDPR
Details

The Safest AI Is the AI You Already Control

Most legal AI vendors ask firms to send their most sensitive data to external servers and trust that someone else will protect it. AtlasAI inverts that model entirely. By deploying inside your existing infrastructure, every security investment your firm has already made—firewalls, SIEM, identity governance, network policies—applies to AtlasAI automatically. There is no new perimeter to defend. There is no vendor to audit. The platform operates under the same security controls as the rest of your firm’s systems.

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Common Questions

Where does AtlasAI actually run?
AtlasAI is deployed entirely within your firm’s own Azure subscription. All compute, storage, model inference, and data processing happen inside your tenant. AtlasAI does not operate shared cloud infrastructure. Your IT team administers the environment the same way they manage any other internal system.
Does any data leave our firm’s infrastructure?
No. Documents, prompts, AI outputs, metadata, and user activity logs all remain within your firm’s infrastructure boundary. Nothing is transmitted to AtlasAI’s servers, to model providers, or to any third party. There is no telemetry that includes client data.
Who has access to our data once AtlasAI is deployed?
Only the users and administrators your firm authorizes through your existing identity provider. AtlasAI integrates with your SAML/SSO, Active Directory, and RBAC policies. AtlasAI personnel do not have standing access to your deployment. Any support access requires explicit firm approval and is time-limited, logged, and auditable.
Are AI models shared between firms?
No. Every firm receives dedicated model instances running inside their own Azure subscription. There is no shared inference endpoint, no multi-tenant queue, and no possibility of one firm’s data being accessible to another firm’s deployment. Model isolation is architectural, not policy-based.
Is our data ever used to train or improve models?
Never. Your inputs, outputs, uploaded documents, and interaction data are never used to train, fine-tune, or improve any model—whether AtlasAI’s or any underlying foundation model. This is a contractual guarantee in our deployment agreement, not a policy that can change. If your firm chooses to fine-tune models on its own data for its own use, that capability exists—but the decision and the data remain entirely within your control.
How does AtlasAI handle privilege and confidentiality?
Because AtlasAI operates inside your firm’s infrastructure, attorney-client privilege is maintained the same way it is for any other internal system. No third party processes or stores privileged communications. Data segregation between matters and clients is enforced through the same access controls your firm uses for its document management systems. AI-assisted work product stays within the privilege boundary.
What happens during a security incident?
Our deployment agreement includes binding incident response SLAs with defined notification timelines, escalation procedures, and remediation commitments. Because the platform runs inside your infrastructure, your own SIEM and monitoring tools have full visibility into AtlasAI’s activity. You don’t have to wait for a vendor to tell you something happened—your security team sees it in real time.
Can our firm run its own penetration tests against AtlasAI?
Yes. Because the deployment lives inside your Azure tenant, your security team can test it the same way they test any other internal application. We also provide results from our own independent third-party assessments and welcome coordinated testing with your preferred security firms. We believe the best way to prove security is to let you verify it yourself.

Built for the firms that
can’t afford to compromise

Walk through AtlasAI’s architecture with your security team. We’ll show you exactly where your data lives, who can access it, and why the answer to both is “only you.”

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