Paralegent AI

Company

We are building the future of AI contract review.

Paralegent AI is an AI contract review system for contract due diligence — built by Cognilium AI with 100+ production AI systems shipped since 2019. We deploy 18+ specialized AI agents in your cloud to review master agreements in 2-8 minutes.

Built for in-house legal teams, legal operations leaders, and procurement teams reviewing 50+ contracts per quarter.

Our Vision

Contract review that enforces your standards — not generic AI guesses.

Paralegent AI enforces your exact standards on every clause — 18+ specialized agents review each contract against your custom rulebook with 80-150 terms, producing a fully classified redline with 40-50 precise redline locations in 30 minutes. Contract matching happens in 15-20 seconds. Full analysis completes in 2-8 minutes.

The problem it solves: industry research indicates lawyers dedicate 40-60% of their working hours to manual document review. An 80-page Master Sales Agreement takes 20-30 hours to review — creating a 10-15 day SLA bottleneck and costing $100,000+ per month for a team of 4-5 attorneys doing repetitive clause-matching.

We built Paralegent AI on LangGraph + Google ADK with 1536-dimensional semantic search — deployed in your cloud (Azure, AWS, or Google Cloud) so your data never leaves your environment. GREEN/ORANGE/RED classification on every clause. Replacement language included.

See the product →
Paralegent AI — enterprise AI contract review team building production-grade legal technology

Manual review vs Paralegent AI

See how AI contract review compares to traditional manual review for enterprise legal teams.

Manual ReviewParalegent AI
Review Time20-30 hours per MSA2-8 minutes full analysis
SLA Turnaround10-15 days2 days
ConsistencyVaries by reviewerRulebook-enforced, every time
Monthly Cost$100,000+ (4-5 attorneys)One-time deployment
Risk ClassificationSubjective notesGREEN / ORANGE / RED with rationale
Data LocationExternal law firms, emailYour own cloud (Azure, AWS, GCP)
Clause CoverageSelective (fatigue)18+ legal categories

What we believe

Production over prototypesEvery system we ship runs at 99.9% uptime in enterprise environments. We measure on clause retrieval accuracy, recall rate, false positive rate, and time-to-redline.

Your cloud, your dataDeployments run in Azure, AWS, or GCP under your own account. Your contracts never touch a third-party server. No shared infrastructure. No data egress.

Builder-first culturePods of 3-4 engineers, 8-10 week timelines, hands-on implementation. We deploy in your environment — not hand off configuration guides.

Custom rulebooks, not templates80-150 terms per contract type, designed with your legal team. Definitions, rationale, examples, and confidence thresholds.

LLM-agnostic architectureAzure OpenAI, AWS Bedrock, or Google Vertex AI. You choose the model. Built on LangGraph + Google ADK with 1536-dimensional vector embeddings.

The Team

Built by people who have shipped 100+ production AI systems.

Paralegent AI is built by Cognilium AI — a production AI studio with 100+ systems shipped, 50+ GenAI deployments, and 96% client satisfaction. We don't prototype. We deploy production systems that enterprises rely on daily.

Our implementation process:

1.

Rulebook DesignWeeks 1-2

2.

Cloud DeploymentWeeks 3-4

3.

CLM IntegrationWeeks 5-6

4.

Testing with Real ContractsWeeks 7-8

5.

Team Training & Go-LiveWeeks 9-10

MM
Mudassir Marwat

Founder & CEO

LinkedIn →
100+

Production AI Systems

50+

GenAI Deployments

96%

Client Satisfaction

99.9%

System Uptime

Paralegent AI and Cognilium AI team — builder-first culture shipping production AI systems

Work With Us

Join a team that is building the future of legal AI.

We are building something that genuinely hasn't existed before — a multi-agent AI system that reads contracts like your best attorney, deployed in the customer's own cloud. Our engineers work across LangGraph, Google ADK, Azure OpenAI, and 1536-dimensional vector embeddings — building systems that process 80-page master agreements in 2-8 minutes.

If you want to do the best work of your career on a problem that matters — building AI that analyzes 18+ legal categories with 18+ specialized agents and ships production systems at 99.9% uptime — this is where you do it.

Explore careers →

Paralegent AI deploys 18+ agents in your cloud — reducing 30-hour reviews to 30 minutes inside Microsoft Word.

FAQ

About Paralegent AI

Who built Paralegent AI?

Paralegent AI is built by Cognilium AI, a production AI studio founded in 2019 with 100+ production AI systems and 50+ GenAI deployments shipped. Led by Mudassir Marwat, Founder & CEO, who has personally architected and deployed production AI systems across legal, recruiting, and enterprise automation.

Where is Paralegent AI headquartered?

Paralegent AI is headquartered in Dubai, UAE with a globally distributed engineering team. Every deployment runs in the customer's own cloud — Azure, AWS, or Google Cloud. The team operates across time zones to support enterprise clients with 18+ AI specialist agents and 8-10 week implementation timelines.

Is Paralegent AI a startup or an established company?

Paralegent AI was founded in 2024 as a product of Cognilium AI (established 2019). The parent company has 96% client satisfaction across 100+ projects and 99.9% system uptime. We ship production systems, not prototypes — every deployment is battle-tested.

What other products has the team built?

The Cognilium AI team has built VectorHire, VORTA, ProProspect, ProspectVox, Legal Lens AI — all production-grade AI systems serving enterprise clients. Each product applies multi-agent architecture, semantic search, and domain-specific AI. Paralegent AI brings the same engineering rigor to contract due diligence with 18+ specialized agents.

How is Paralegent AI different from other legal AI companies?

Paralegent AI deploys in your own cloud with 18+ specialized agents and custom rulebook enforcement. Every engagement is custom-scoped to your contracts, your cloud, and your legal standards. Unlike SaaS contract AI tools, Paralegent AI combines multi-agent architecture with full data sovereignty.

What contract types does Paralegent AI support?

Paralegent AI analyzes Master Sales Agreements (MSAs), Master Purchase Agreements (MPAs), Master Service Agreements, plus sub-contracts including sales contracts, purchase orders, and Statements of Work (SOWs). Each contract is reviewed against your custom rulebook across 18+ legal categories in 2-8 minutes.

Does Paralegent AI work inside Microsoft Word?

Yes — Paralegent AI works natively inside Microsoft Word. Lawyers click "Review Contract" in the sidebar and get results highlighted directly in the document with GREEN/ORANGE/RED risk classification. No copy-pasting, no switching apps, no workflow disruption. 18+ AI specialists analyze every clause in parallel.

How long does implementation take?

Typical implementation is 8-10 weeks with a dedicated engineering pod of 3-4 engineers. This covers rulebook design, cloud deployment, CLM integration (Agiloft, DocuSign, Icertis, Ironclad), testing with real contracts, and team training. Your team operates the system independently after go-live.

What LLM providers does Paralegent AI support?

Paralegent AI is LLM-agnostic — it runs on Azure OpenAI, AWS Bedrock, or Google Vertex AI inside your own cloud account. You control the model, the costs, and the data. The system uses 1536-dimensional vector embeddings for contract-to-rulebook matching, not keyword search.

How does Paralegent AI ensure accuracy?

Paralegent AI uses multi-agent orchestration with 18+ specialized agents plus an orchestrator that resolves conflicts by confidence score. Each flagged clause includes the rationale, your preferred fallback language, and a confidence percentage. Only high-confidence findings are surfaced — eliminating noise and false positives.

Get Started

Ready to see Paralegent AI in action?

Request a demo to see how we analyze your contracts against your custom rulebook.

18+ AI Specialists
Your cloud, your data
No recurring fees
8-10 week implementation