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AI that stays in your walls.

Self-Hosted AI brings the power of large language models to your law firm without ever sending a document, prompt, or response to a third-party cloud. Full attorney-client privilege. Full compliance. Full control.

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Built for regulated industries

Attorney-Client Privilege
On-Premise or Your Cloud
SOC 2 Ready Architecture
Zero Third-Party AI Calls
Data Residency Compliant

ChatGPT is not an option for law firms.

Every time a lawyer pastes a contract into a public AI tool, that document leaves your control. Privilege can be waived. Confidential deal terms end up in training data. Regulatory requirements are violated before anyone notices.

Self-Hosted AI gives your attorneys the same productivity gains — contract review, research summarization, document drafting — without any of the risk. The model runs inside your environment. Nothing leaves.

No data leakage

Prompts and documents never reach OpenAI, Anthropic, or any external service.

Privilege preserved

Processing stays within your firm's infrastructure, the same as any other internal system.

Full audit trail

Every query, every response, every user — logged and searchable for compliance review.

Everything you need. Nothing you don't.

Purpose-built capabilities for legal workflows, not a generic AI wrapper.

Contract Review & Redlining

Automatically identify non-standard clauses, missing provisions, and risk terms. Output tracked-changes redlines in Word format.

DMS-Connected Research

Query across thousands of your firm's documents, precedents, and templates using natural language. Results link back to source documents in iManage or NetDocuments.

Onboarding & Offboarding Automation

AI-driven workflows that provision and deprovision users across your entire legal tech stack — from DMS to billing to practice management.

Open-Weight Models

Run Llama 3, Mistral, Phi-3, or any GGUF-compatible model. Swap models as the landscape evolves without re-architecting your platform.

Workflow Orchestration

Chain AI steps with your existing systems via REST APIs. Integrate with Boomi, MuleSoft, or custom middleware you already operate.

Flexible Deployment

On-premise bare metal, Azure tenant, AWS VPC, or Google Cloud — we match the architecture to your existing infrastructure and compliance posture.

Fine-Tuning on Your Data

Improve model accuracy on your firm's specific practice areas and document styles using LoRA fine-tuning on your own labeled examples.

Role-Based Access Control

Enforce the same permissions model as your DMS. Associates see associate-level data. Partners see partner-level data. No exceptions.

End-to-End Encryption

All data at rest and in transit is encrypted. Keys stay in your environment — never shared with DataWarrant or any third party.

From zero to running in 4–8 weeks.

A proven deployment process designed around legal operations teams, not DevOps teams.

  1. 01

    Discovery & Scoping

    Week 1

    We map your existing tech stack, compliance requirements, data residency needs, and target use cases. You leave with a clear architecture proposal and timeline.

  2. 02

    Infrastructure Provisioning

    Weeks 1–2

    We stand up the compute environment — on-premise, in your Azure tenant, or your AWS VPC. GPU instances, storage, and networking configured to your security policies.

  3. 03

    Model Deployment & Tuning

    Weeks 2–4

    We deploy and configure the selected open-weight model, run optional fine-tuning on representative samples from your document library, and benchmark accuracy.

  4. 04

    System Integrations

    Weeks 3–6

    DMS connectors (iManage, NetDocuments), SSO setup, billing system hooks, and any additional API integrations scoped in discovery.

  5. 05

    UAT & Training

    Weeks 6–7

    Your team tests real workflows. We iterate quickly. Training sessions for attorneys, IT staff, and administrators. Documentation delivered.

  6. 06

    Go-Live & 90-Day Support

    Week 8+

    Production launch with DataWarrant on-call. 90 days of included support for tuning, monitoring, and resolving edge cases as your team adopts the system.

Real use cases. Real results.

What attorneys actually do with Self-Hosted AI on day one.

Contract Review

Review NDAs in minutes, not hours.

Associates upload a counterparty NDA. The AI flags deviations from firm playbook, highlights missing clauses, and suggests standard language — all without the document leaving the firm.

80% reduction in first-pass review time
Legal Research

Find precedents across your entire matter history.

Ask plain-English questions across thousands of prior matters, briefs, and memos stored in your DMS. The AI returns cited excerpts with links back to source documents.

10× faster precedent discovery
Document Drafting

First drafts in seconds from a clause library.

Attorneys describe what they need; the AI assembles a first draft from your approved clause library and prior work product. Partners spend time on judgment, not boilerplate.

60%+ reduction in drafting time
Matter Intake

Automate new matter setup end-to-end.

When a new matter opens, AI extracts key information, creates the matter workspace in the DMS, provisions access for the assigned team, and populates billing codes — automatically.

Zero manual matter setup steps

Built on proven open-source infrastructure.

No vendor lock-in. No proprietary runtime. You own the stack.

OllamavLLMLangChainLlamaIndexLlama 3MistralPhi-3MixtralPostgreSQL + pgvectorRedisDockerKubernetesAzure / AWS / GCPFastAPINext.js

Frequently Asked Questions

We support the full spectrum of open-weight models including Llama 3, Mistral, Mixtral, Phi-3, and Gemma. We also support private model deployments via Ollama, vLLM, and local GPU inference stacks. If your firm has specific compliance requirements around model provenance, we can advise on the right choice.
All inference happens on infrastructure you own and control — on-premise servers, your AWS/Azure/GCP tenant, or a private co-location. No prompts, documents, or responses are sent to any third-party AI provider. Your data never leaves your environment.
DataWarrant builds purpose-built connectors for the leading legal DMS platforms including iManage Work, NetDocuments, and Worldox. The AI reads from and writes to your DMS using your existing credentials and permissions model, so document security is preserved end-to-end.
Requirements scale with usage. A small deployment (5–20 concurrent users) typically runs on a single server with a consumer-grade GPU (NVIDIA RTX 4090 or A10G). Enterprise deployments use multi-GPU racks or cloud GPU instances. We'll right-size the architecture during the scoping call.
Yes — and this is the most common deployment pattern for law firms already on Microsoft 365. We deploy into your Azure tenant using Azure VMs with GPU SKUs, Azure Kubernetes Service, or Azure AI Studio depending on your requirements. AWS deployments use EC2 P-series or G-series instances.
Because all processing is on-premise or within your controlled cloud tenant, there is no third-party involvement in data processing. This preserves privilege in the same way that your on-premise document management system does. We recommend involving your firm's ethics counsel during scoping to ensure the deployment structure meets your jurisdiction's requirements.
A typical deployment takes 4–8 weeks: (1) Discovery & scoping call, (2) Infrastructure provisioning, (3) Model selection and fine-tuning on sample data, (4) DMS and system integrations, (5) User acceptance testing, (6) Go-live and training. We stay engaged for 90 days post-launch.

Ready to bring AI inside?

Fill out a quick form and our team will follow up with details tailored to your firm's stack, compliance requirements, and use cases — no commitment required.

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