For Enterprise
Contract review that scales with your business.
Paralegent AI deploys 18+ specialized agents in your cloud — handling 50-500+ master agreements per year with consistent GREEN/ORANGE/RED classification. One-time deployment. Data sovereignty. Your infrastructure.
For enterprise legal teams at $200M-$5B companies reviewing 50+ contracts per quarter.
Enterprise Reality
Scale demands a different approach.
Volume
50-500+ master agreements per year.
Enterprise legal teams process hundreds of contracts annually. Each requires review across multiple legal categories. Manual review doesn't scale without proportional headcount.
contracts per year
Sovereignty
Data concerns block adoption.
Enterprise buyers reject SaaS tools that send contracts to vendor clouds. Data sovereignty isn't a feature request — it's a prerequisite for procurement approval.
procurement blocker
Cost
$100,000+/month for manual review.
A team of 4-5 attorneys at enterprise billing rates. Outside counsel budgets collapsed. The enterprise needs a one-time solution, not another subscription.
monthly manual cost
Enterprise Solution
Built for enterprise requirements.
Data Sovereignty
Your cloud. Your LLM. Your data never leaves.
18+ agents deploy in your Azure, AWS, or Google Cloud. Private endpoints, VNet/VPC isolation, your security policies. Zero data on Paralegent servers. The #1 reason enterprises choose us over every SaaS alternative.
Scale
Contract 1 and contract 500. Same standards.
18+ agents process contracts concurrently. 80-150-term rulebook applied consistently across every business unit. Multiple rulebooks for different contract types and departments. No fatigue, no inconsistency.
Integration
Fits your existing enterprise stack.
Microsoft Word native Add-in. SharePoint, Teams, OneDrive, Outlook. CLM systems: Agiloft, DocuSign CLM, Icertis, Ironclad. Azure AD SSO. Deployed through M365 admin center with group policy controls.
One-time deployment. Not another subscription.
Enterprise teams pay $100,000+/month for manual review. SaaS tools add another recurring line item. Paralegent AI is a one-time deployment — 8-10 weeks with a dedicated engineering pod. You own the system. No vendor lock-in.
Comparison
Enterprise deployment vs SaaS alternatives.
| Paralegent AI | SaaS Contract AI | |
|---|---|---|
| Deployment | Your Azure / AWS / GCP | Vendor's shared cloud |
| Data sovereignty | Zero egress — your infrastructure | Data on vendor servers |
| Pricing | One-time deployment | Per-user/month subscription |
| LLM choice | Azure OpenAI, Bedrock, Vertex AI | Vendor-chosen model |
| Multi-business unit | Separate rulebooks per unit | Shared configuration |
| Authentication | Azure AD SSO + RBAC | Vendor-specific login |
| Compliance | Runs within your certified cloud | Vendor certifications only |
| System ownership | You own it permanently | Vendor owns the platform |
Enterprise Impact
What changes at enterprise scale.
Data stays in your cloud — 18+ agents process everything locally. No data egress. Private endpoints. Your security policies. Enterprise-grade by architecture.
Volume without headcount — 50-500+ contracts per year processed with the same team. 18+ agents don't have bandwidth constraints.
Multi-unit consistency — Legal, procurement, sales, HR — each with their own rulebook, same 18+ agents. Consistent standards across the entire organization.
One-time investment — 8-10 week implementation. No recurring subscription. Cloud/LLM costs on your own accounts. Compare to $100K+/month manual or $288K+/year SaaS.
Enterprise integration — Word, M365, CLM, Azure AD — fits your existing stack. Deployed through M365 admin center. No shadow IT.
Paralegent AI for enterprise — 18+ agents in your cloud, one-time deployment, data sovereignty by architecture.
For Enterprise
Ready to deploy Paralegent AI in your cloud?
Request a demo — we'll walk through data sovereignty, multi-unit rulebooks, and enterprise integration live.
FAQ
Enterprise questions.
Common questions from enterprise legal teams, CIOs, and procurement leaders.
What size companies use Paralegent AI?
Paralegent AI is built for companies with $200M+ revenue (sweet spot $500M-$5B), 4-15 attorneys, and 50-500+ master agreements per year. Enterprise teams that need data sovereignty, consistent standards, and 18+ agents processing contracts in 2-8 minutes.
How does data sovereignty work at enterprise scale?
Paralegent AI deploys entirely inside your Azure, AWS, or Google Cloud. 18+ agents run on your infrastructure using your LLM accounts. Zero data egress. Private endpoints, VNet/VPC isolation, your security policies. Not a SaaS subscription — you own the system.
Can Paralegent AI handle our contract volume?
Yes — 18+ agents process contracts concurrently. Teams handling 50-500+ master agreements per year run reviews in parallel. Same 80-150-term rulebook applied consistently whether it's contract 1 or contract 500.
How does this integrate with our existing enterprise stack?
Paralegent AI integrates with Microsoft Word (native Add-in), Microsoft 365 (SharePoint, Teams, OneDrive, Outlook), CLM systems (Agiloft, DocuSign CLM, Icertis, Ironclad), and deploys on Azure, AWS, or Google Cloud with Azure AD SSO.
What is the total cost of ownership?
One-time deployment — not a recurring SaaS subscription. 8-10 week implementation with a dedicated pod of 3-4 engineers. Cloud and LLM costs paid directly to your provider. Compare to $100,000+/month for 4-5 attorneys doing manual review.
How do we manage multiple business units?
Multiple rulebooks per deployment. Each business unit — legal, procurement, sales, HR — maintains its own rulebook with unit-specific terms and thresholds. 18+ agents apply the correct rulebook automatically. RBAC controls access per unit.
What compliance frameworks does Paralegent AI support?
Paralegent AI operates within your cloud provider's compliance-certified infrastructure — SOC 2, ISO 27001, GDPR, HIPAA, FedRAMP depending on your Azure, AWS, or Google Cloud configuration. Your infosec team controls every layer.
Can we run a pilot before full deployment?
Yes — start with one contract type, one business unit, one rulebook. Validate results against manual review. Then expand to additional contract types and teams. 8-10 week implementation is designed for phased rollout.
How does the implementation work?
Dedicated pod of 3-4 engineers. Weeks 1-2: rulebook design (80-150 terms). Weeks 3-4: cloud deployment. Weeks 5-6: Word Add-in + CLM integration. Weeks 7-8: testing with real contracts. Weeks 9-10: training and go-live.
What LLM providers are supported?
LLM-agnostic: Azure OpenAI, AWS Bedrock, Google Vertex AI — running on your own accounts. Switch providers anytime. Your API keys, your costs, your data residency. Built on LangGraph + Google ADK.