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© 2026 Somi AI. All rights reserved.

Built for people shipping with AI.

What is Ivo?

AI-powered contract review platform that automatically redlines agreements and flags risks in minutes, not hours.

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Overview

Ivo is an AI contract review platform built for legal teams that need to process high volumes of agreements quickly and accurately. The tool redlines contracts by running 400+ AI model calls per review, applying your custom playbook rules and preferred clause language. It works directly in Microsoft Word to deliver tracked changes with comment bubbles justifying each edit, helping legal teams cut review time by up to 75%.

Key Features

  • AI-Powered Redlining: Automatically generates precise redlines by chaining 400+ model calls per contract, delivering tracked changes that mirror how experienced attorneys negotiate.
  • Custom Playbooks: Configure negotiation guidelines that reflect your company's approach, with flexible standard and fallback positions that Ivo applies to every review.
  • Smart AI Assistant: Get instant answers about contract terms, obligations, and risks with an AI associate that works in real-time within Word and your document repository.
  • Contract Repository & Search: Query thousands of contracts using natural language, create custom dashboards with AI-populated columns, and uncover insights about renewals, risks, and revenue.
  • One-Click Issues Lists: Generate dynamic, customizable issues lists and summaries highlighting key risks, business terms, or changes between contract versions.
  • Microsoft Word Integration: Works as a native add-in in Word with support for Google Docs and PDFs, leveraging your existing file systems and cloud storage.

Pros

  • Significant Time Savings: Users report saving 45 minutes per contract on average, with some teams cutting review time by 50-75%.
  • High AI Accuracy: Produces naturalistic redlines that closely resemble the work of experienced attorneys, with fewer hallucinations than competing tools.
  • Intuitive Interface: Easy to configure and use without extensive training, allowing teams to get started quickly.
  • Responsive Development Team: The team actively seeks user feedback and continuously improves the platform based on customer needs.
  • Enterprise Security: Zero-retention architecture with enterprise controls and audit logging protects sensitive legal documents.

Cons

  • Rapid Feature Evolution: Users feel overwhelmed by frequent platform updates, making it challenging to keep up with new capabilities.
  • Microsoft Word Dependency: Primarily designed for Word, which may limit teams that prefer other document editing platforms.
  • Enterprise-Only Pricing: No self-service option or transparent pricing (requires sales demo), making it inaccessible for small firms or individuals.
  • Still Requires Human Oversight: Although Ivo automates much of the process, contract review remains a legal task, and the AI may not catch every nuance; users emphasize that lawyer review is still necessary.

Use Cases

  • High-Volume Contract Processing: Large corporations use Ivo to maintain consistency across thousands of agreements, reducing review time from hours to minutes while ensuring all contracts follow company playbook guidelines.
  • Third-Party Paper Review: Legal teams quickly review and redline vendor contracts (NDAs, DPAs, sales agreements), cutting approval time in half and freeing lawyers to focus on higher-risk matters.
  • Contract Portfolio Analysis: Business and legal teams query entire contract repositories to identify renewals, calculate risk exposure, analyze revenue terms, or find specific obligations across thousands of documents.
  • Risk Communication: Legal departments use Ivo to automatically generate plain-language summaries and issues lists that communicate contract risks to business stakeholders without legal jargon.
  • Fast-Track NDA Processing: Companies like Quora cut NDA approval time from four days to two days by automating initial review, redlining, and risk flagging.
  • Legal Training & Education: Law schools and training programs use Ivo to teach students how AI augments legal work and to develop skills in reviewing AI-generated contract analysis.

Frequently Asked Questions

What types of contracts can Ivo review?

Ivo handles NDAs, data processing agreements (DPAs), sales agreements, and most common commercial contracts. The platform works with any contract type once you configure your custom playbook with your negotiation preferences and clause language.

How does Ivo integrate with existing workflows?

Ivo works as a Microsoft Word add-in, so your team can continue using familiar tools. It also supports Google Docs and PDFs, and integrates with your existing file systems, cloud storage (like SharePoint or Google Drive), or on-premises environments.

How long does it take to set up Ivo?

Ivo is self-configurable and intuitive to use. You'll need to create custom playbooks that reflect your negotiation approach, but users report the interface is easy to learn without extensive training.

What kind of time savings can I expect?

Real customers report saving 45 minutes per contract on average, with efficiency gains of 50-75%. Actual savings depend on contract complexity and volume, but most teams see immediate productivity improvements.

How much does Ivo cost?

Ivo does not publish its pricing publicly, as its cost is customized based on the company's size and specific needs. You will need to request a demo to receive a tailored quote.

Is Ivo secure for confidential legal documents?

Yes. Ivo uses zero-retention architecture, meaning your contract data isn't stored or used to train AI models. The platform includes enterprise controls, audit logging, and security features designed for sensitive legal work.

Can Ivo work with our existing contract templates and playbooks?

Yes. Ivo's custom playbook feature allows you to input your negotiation guidelines, preferred clause language, and standard/fallback positions. The AI then applies these rules automatically to every contract review.

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AI contract review software for legal teams.

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