Ivo

What Ivo does

Ivo is the leading contract intelligence platform for enterprise legal teams, reviewing, negotiating, and extracting intelligence from contracts. It helps businesses get agreements signed and executed faster while surfacing critical business insights. Ivo's proprietary AI engine discovers insights, maps relationships, and provides specialized views to move businesses forward. The platform offers AI-powered redlining, automatic contract insights at scale, and an AI agent for contract review, intelligence, and research. It is designed to be secure and compliant, with SOC 2 and ISO27001 certifications, stringent data privacy (GDPR and CCPA compliant), and a commitment to never train AI models on customer data. Ivo aims to become the core infrastructure for enterprise contract work, transforming manual, fragmented contract workflows.

Products

• Ivo ReviewAI that redlines like your lawyers, offering surgical redlining against playbooks and previously negotiated contracts in Microsoft Word and Google Docs. It provides intelligent benchmarks by comparing deals against past agreements and leverages agentic AI for prompt-based reviews, redlining, and comment drafting.
• Ivo IntelligenceAutomatic contract insights at scale with an AI-native repository that analyzes contracts across an entire library without manual meta-tagging. It uncovers relationships between contracts (amendments, restatements, superseding agreements) and unifies base agreements and amendments into one view. It also detects patterns, flags outliers, and identifies added, removed, or modified clauses, and allows for AI views and columns with plain-English prompts.
• Ivo AssistantOne AI agent for contract review, intelligence, and research. It allows users to draft, redline, and explain contracts using plain-language prompts directly in Microsoft Word. It can answer complex contract questions across contracts to surface risk, uncover insights, and understand negotiation patterns, and conduct legal research with trusted, verified sources without leaving the workflow.

Key capabilities

• Surgical redlining
• Intelligent benchmarks
• Prompt-based reviews
• AI-native repository
• Automatic contract insights at scale
• Contract relationships at a glance
• Unified contract amendments
• Draft, redline, and explain contracts with AI
• Get answers to complex contract questions
• Research with confidence using trusted sources
• Proprietary AI engine
• SOC 2 certified
• ISO27001 certified
• GDPR and CCPA compliant
• Customer data not used for AI model training
• AI Clustering for complete contract visibility
• Composite agreements
• Risk & deviations detection
• Centralized contract library without tagging
• AI views & columns with plain-English prompts
• Custom rooms for project isolation
• Multiple data sources for Assistant (repository, legal sources, web)
• Legal research with verified, cited answers from over 100 trusted sources
• 97% accuracy on the Contract Understanding Atticus Dataset (CUAD)
• CLM and data agnostic
• Low-friction implementation
• Traceable reasoning for AI responses
• Context-aware outputs based on company profile
• MCP capabilities (connect to automation tools like Claude)
• Reduce first-pass review time using legal-approved playbooks
• Turn contract history into negotiation leverage
• Prevent renewal and risk surprises
• Standardize negotiations with simple prompts
• Accelerate internal approvals with clear summaries
• Works in Microsoft Word and Google Docs
• Playbooks built from your own contracts
• Run up to three playbooks in a single review
• Express positions in natural language for playbooks
• Context-specific answers from Assistant
• Compare documents against previously negotiated contracts
• Generate editable reports and memos
• Room-scoped queries for Assistant in Intelligence
• Multi-jurisdiction research
• Multi-agent workflows for research
• Support for PDF files, Slack, and Email review
• Custom Playbooks
• Fallback Positions
• Clause Library
• Identify high-risk issues
• Support for both first-party and third-party paper
• Easy comments insertion
• Complete control over AI-generated redlines
• One-click reports generation (email memos, issues lists, summary reports)

Use cases

• Reviewing and redlining agreements
• Extracting insights from contracts
• Accelerating agreement signing and execution
• Surfacing critical business insights from contracts
• Analyzing contracts across an entire library
• Uncovering relationships between contracts (amendments, restatements, superseding agreements)
• Unifying base agreements and amendments
• Drafting and revising clauses directly in Microsoft Word
• Answering complex contract questions
• Conducting legal research
• Gaining complete contract visibility
• Detecting patterns, flagging outliers, and identifying clause changes
• Centralizing contract libraries without manual tagging
• Creating AI columns to surface specific terms (e.g., liability clauses)
• Isolating projects, acquisitions, and business units into separate rooms
• Negotiating vendor contracts with data
• Standardizing negotiations
• Identifying non-standard terms in contracts
• Tracking renewal obligations
• Reducing first-pass review time for contracts
• Leveraging contract history for negotiation
• Preventing renewal and risk surprises
• Aligning vendor contracts to internal standards
• Getting answers about past vendor terms or negotiation patterns
• Generating summaries of commercial changes for internal approvals
• Reducing contract cycle times
• Gaining faster insights into agreements
• Scaling legal functions with lean teams
• Speeding up review cycles
• Focusing on higher-stakes legal work (privacy, AI governance, vendor review, enterprise risk)
• Ensuring consistency in redlining
• Reducing reliance on external legal resources
• Providing a built-in training tool for new legal team members
• Automating routine contract review tasks
• Enhancing negotiation power
• Accelerating freight operations
• Initiating faster purchase orders and vendor onboarding
• Improving sales alignment through simplified contract summaries

AI approach

Ivo uses proprietary AI engines and agentic AI capabilities to review, redline, and extract insights from contracts. It leverages multiple AI agents for different tasks, including legal research, and claims 97% accuracy against the Contract Understanding Atticus Dataset (CUAD). The company states it never trains AI models on customer data.

Tech named: proprietary AI engine, agentic AI, AI clustering, multi-agent reasoning, Claude

Industries served

• Software Development
• Legal
• Procurement
• Financial Consulting
• Logistics

What it says sets it apart

• Leading contract intelligence platform for enterprise legal teams
• Proprietary AI engine for insights, relationship mapping, and specialized views
• Surgical redlining capability, tied with human attorney quality in benchmarks
• 97% accuracy on the Contract Understanding Atticus Dataset (CUAD)
• No training of AI models on customer data
• CLM and data agnostic, works across different CLMs and repositories
• Low-friction implementation, minimal onboarding, no tagging required
• Multi-agent reasoning for comprehensive contract analysis
• Context-aware outputs based on company profile and deal context
• Traceable reasoning for all AI responses, linking to exact clauses or sources
• Ability to run up to three playbooks simultaneously in a single review
• Playbooks built from customer's own contracts with citations
• Comprehensive legal research from over 100 trusted sources with citations
• Seamless integration with Microsoft Word and Google Docs
• Designed by an attorney who understood legal workflows and thinking
• Significant time and cost savings for contract review (e.g., 75% reduction in review time, 20-45 minutes saved per contract, 85% reduction in review time from days to hours)
• Ability to handle complex questions beyond keyword search
• Continuous product releases and rapid feature improvements
• User-friendly interface and intuitive to use

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.