Paralegent AI
Cloud Deployment

Your cloud. Your LLM. Your data never leaves.

Paralegent AI deploys in your own Azure, AWS, or Google Cloud. Choose Azure OpenAI, Bedrock, or Vertex AI as your LLM. 18+ agents run inside your infrastructure. Zero data on Paralegent servers. You own the system.

Azure
AWS
Google Cloud
Vertex AI
The Real Differentiator

The #1 reason enterprises choose us over every SaaS competitor.

Every SaaS contract AI tool sends your most sensitive legal documents to a vendor's shared cloud. Paralegent AI deploys 18+ specialized agents entirely inside your environment — with your LLM, your keys, your control.

Your Cloud

Deployed in your Azure, AWS, or Google Cloud.

18+ agents run as containerized services inside your cloud subscription. Private endpoints, VNet/VPC isolation, your security policies. No shared infrastructure. No multi-tenant risk.

  • Containerized agents in your subscription
  • VNet/VPC isolation + private endpoints
  • No shared tenancy — no multi-tenant risk
Three letterpress cards on a desk — Microsoft Azure (your Azure subscription · containerized agents · VNet isolation), AWS (your AWS account · private endpoints · VPC isolation), Google Cloud (your GCP project · VPC-SC · CMEK encryption) — with a DEPLOYED IN YOUR ENVIRONMENT banner behind them
Your LLM

Azure OpenAI. Bedrock. Vertex AI. Your choice.

LLM-agnostic by architecture, built on LangGraph + Google ADK. Your API keys, your costs, your data residency. Commercial agreements with all three providers prohibit using your data for model training. Switch providers anytime.

  • Azure OpenAI / Bedrock / Vertex AI
  • Your API keys, your costs, your residency
  • No-training commercial agreements with all three
Wooden tray with three provider cards — Azure OpenAI (Provider 01), AWS Bedrock (Provider 02), Vertex AI (Provider 03) — under a YOUR API KEYS · YOUR COSTS · YOUR RESIDENCY headline, with a key fob tagged "switch anytime" and a "no re-implementation when you switch — playbook persists" caption
Zero Egress

Your contracts never touch a third party.

Zero data egress enforced at the infrastructure level — not by policy. Contracts are processed inside your cloud, analyzed by your LLM accounts, and results delivered to your Word Add-in or CLM. No bytes on Paralegent servers.

  • Egress blocked at infrastructure level
  • Results delivered to Word / CLM only
  • No bytes on Paralegent servers — ever
A wax-sealed CONTRACTS · CONFIDENTIAL folder behind glass on a museum plinth alongside a LOCKED / UNALTERED · CONTAINMENT EXHIBIT — Access Restricted placard — contracts sealed inside the customer environment, never released
Cloud Providers

Three clouds. Your choice.

Same agents. Same playbook. Same Word Add-in. Choose the provider that fits your security model.

Azure

Azure

Azure OpenAI

Private endpoints, full RBAC, Azure AD authentication, VNet isolation. Data stays in your Azure tenant.

AWS

AWS

AWS Bedrock

VPC isolation, IAM controls, PrivateLink connectivity. All contract data processed inside your VPC.

Google Cloud

Google Cloud

Vertex AI

VPC-SC boundaries, data residency controls, CMEK encryption. Full sovereignty under your GCP policies.

Comparison

Your cloud vs vendor cloud.

The fundamental difference between Paralegent AI and every SaaS contract AI alternative.

Cloud deployment comparison: Paralegent AI (Your Cloud) vs SaaS Contract AI (Vendor Cloud).
Paralegent AI (Your Cloud)SaaS Contract AI (Vendor Cloud)
Data locationYour Azure / AWS / GCPVendor's shared infrastructure
LLM providerYour choice — switch anytimeVendor-chosen, locked
API costsYour accounts, your budgetBundled in subscription
Data trainingContracts never used for trainingDepends on vendor policy
System ownershipYou own it permanentlyVendor owns the platform
Network isolationVNet/VPC, private endpointsShared multi-tenant
ComplianceYour policies, your auditorsVendor compliance only
Pricing modelOne-time deploymentPer-user monthly subscription
What This Means

Data sovereignty by architecture.

Five outcomes from a deployment model that puts your data first.

  • Your cloud, your infrastructure. 18+ agents run inside your Azure, AWS, or Google Cloud subscription. No shared tenancy. No multi-tenant risk.
  • Your LLM, your keys. Azure OpenAI, Bedrock, or Vertex AI — running on your API keys. Your costs, your residency, your model choice. Switch anytime.
  • Zero data egress. Enforced at the infrastructure level. Contracts processed locally, results delivered to Word or CLM. No bytes on Paralegent servers.
  • You own the system. One-time deployment. If you stop working with us, the system stays in your cloud. No decommissioning dependency. No data held by Paralegent.
  • Regulated-industry ready. Financial services, healthcare, energy — organizations with strict data governance choose Paralegent AI because the architecture eliminates compliance concerns.
Paralegent AI deploys 18+ agents entirely inside your cloud — Azure, AWS, or Google Cloud — with zero data egress.
See It In Your Cloud

See Paralegent AI deploy in your environment.

Request a demo — we'll show the full cloud deployment, LLM configuration, and data sovereignty architecture live.

Azure · AWS · Google CloudLLM-agnosticZero data egressYou own the system
FAQ

Cloud deployment questions.

Common questions from CIOs, security teams, and legal operations leaders about deploying Paralegent AI in your own cloud.

01

Where does Paralegent AI deploy?

Paralegent AI deploys as a production accelerator in your own Azure, AWS, or Google Cloud environment. 18+ agents run inside your infrastructure using your own LLM accounts. Your contracts never leave your environment. You own the deployed system permanently.

02

What LLM providers does Paralegent AI support?

Paralegent AI is LLM-agnostic. Choose Azure OpenAI, AWS Bedrock, or Google Vertex AI — all running inside your own cloud accounts. Your API keys, your costs, your data residency. Switch providers anytime without re-implementation.

03

Does my contract data ever leave my environment?

Never. Paralegent AI enforces zero data egress by architecture — not by policy. 18+ agents process contracts inside your cloud using your LLM accounts. No data touches Paralegent servers. No shared infrastructure. Commercial API agreements with all three LLM providers prohibit using your data for training.

04

Can I switch LLM providers after deployment?

Yes — LLM-agnostic by architecture, built on LangGraph + Google ADK. Switch from Azure OpenAI to Bedrock or Vertex AI at any time. Your playbook, agent configuration, review history, and Word Add-in all persist. Only the LLM endpoint changes.

05

What is the difference between this and SaaS contract AI?

SaaS tools run on the vendor's shared cloud — your contracts leave your environment and are processed on infrastructure you don't control. Paralegent AI deploys in YOUR cloud with YOUR LLM accounts. You own the system. No recurring SaaS subscription. No vendor lock-in.

06

How does Azure deployment work?

Paralegent AI deploys on Azure with Azure OpenAI as the LLM provider. Private endpoints, full RBAC, Azure AD authentication, VNet isolation. 18+ agents run as containerized services within your Azure subscription. Data stays in your Azure tenant.

07

How does AWS deployment work?

Paralegent AI deploys on AWS with Bedrock as the LLM provider. VPC isolation, IAM controls, PrivateLink connectivity. 18+ agents run within your AWS account. All contract data processed inside your VPC with zero egress.

08

How does Google Cloud deployment work?

Paralegent AI deploys on Google Cloud with Vertex AI as the LLM provider. VPC-SC boundaries, data residency controls, CMEK encryption. 18+ agents run within your GCP project. Full data sovereignty under your Google Cloud policies.

09

What happens to my data when the contract ends?

You own the deployed system — it runs in your cloud, on your infrastructure. If you stop working with Paralegent AI, the system stays. Your playbooks, review history, and agent configuration remain in your environment. No data held by Paralegent. No decommissioning dependency.

10

How long does cloud deployment take?

Cloud environment setup happens in weeks 3-4 of the 8-10 week implementation. A dedicated pod of 3-4 engineers configures your cloud infrastructure, LLM connections, security policies, and network isolation — tested end-to-end before agent deployment begins.