Company profile
Ontra
AI-powered platform for private markets to accelerate workflows and unlock efficiency.
- Category
- Legal AI
- Headquarters
- Concord, CA, USA
- Sells to
- Enterprise
- Business model
- SaaS subscription, Services & consulting
- Deployment
- Cloud / SaaS
- Pricing
- Per contract fee and monthly minimum · from $2000/mo · free tier
- Builds own models
- Yes
- Modalities
- Text
What Ontra does
Ontra provides an AI-powered platform for private markets, offering solutions to automate contract negotiations, manage obligations and entities, and surface insights. The platform is designed to drive operational excellence, ensure compliance, manage risk, and enable quick action in competitive markets. It combines purpose-built AI capabilities with a global network of legal professionals to handle routine legal agreements and complex compliance workflows. Ontra's solutions include AI-powered summaries, comparisons, and suggestions for legal documents, real-time access to entity data, and tools for contract negotiation, entity management, and compliance for finance teams.
Products
- Ontra AI PlatformAn AI-powered platform for private markets that accelerates workflows and unlocks efficiency across contract negotiations, obligation management, and entity management.
- Ontra’s MCP ServerGives LLMs real-time, read-only access to Atlas entity data for querying relationships and understanding portfolios within AI tools.
- Contract AutomationAn AI-powered, human-in-the-loop contract negotiation solution that combines industry-specific AI with a global network of legal professionals to efficiently handle routine legal agreements.
- AccordAI-powered contract negotiation software for in-house teams to negotiate, analyze, and manage contracts internally using AI tools for precedent, markups, and summaries.
- AtlasAn AI-powered entity management solution for private equity that automates compliance workflows, decreases costs, and improves collaboration by organizing, managing, and sharing entity data, structure charts, and legal documents.
- InsightAn AI-powered solution for fund obligation management that helps manage compliance with event-based and recurring obligations in fund documents and side letters, creating a single source of truth.
- DDQ (Due Diligence Questionnaire) AutomationAn AI-powered solution designed to help fund managers answer, track, and submit investor due diligence questionnaires with confidence and speed, by automating completion and standardizing answers.
Key capabilities
- AI-powered summaries of legal and business terms
- AI-powered answers to questions about agreements
- Comparisons of provisions across documents
- AI-driven suggestions for contract changes based on digital playbooks
- Real-time, read-only access to Atlas entity data for LLMs
- Uncompromising data security, privacy, and trust
- Streamlined routine contract negotiations
- Accelerated negotiations with AI data and workflow tools
- Leveraging playbooks and precedent for accuracy and consistency
- Reduced costs through efficient contract finalization
- Scalability based on deal volume and negotiation preferences
- Human-in-the-loop contract negotiation
- Dynamic reporting for key contract terms
- AI-powered Summaries to surface key terms in contracts
- Markup Builder to recommend markups based on playbooks and precedent
- Similar Documents feature to compare agreements and benchmark negotiations
- Management of entities, side letters, and investor obligations
- Mitigation of risk and audit-readiness for compliance
- Improved operational efficiency through AI technology
- Effective collaboration across teams with a single source of truth
- Insight into workflow status for timely compliance
- AI-enabled automated workflows for entity data organization
- Up-to-date structure charts with algorithmic ownership visualizations
- Pro forma structure charts for modeling future entity structures
- Governance information tracking for directors, officers, and signatories
- Codified, multi-step compliance workflows (tasks)
- AI-abstracted credit agreements to identify and categorize covenants
- Centralized digital compendia for searchable credit agreement covenants
- Comprehensive term comparisons across multiple credit agreements
- Proactive obligation management with tasks for lender commitments
- Automated completion of questionnaires with purpose-built AI
- Standardization of investor communications
- Creation of a knowledge base for standard answers
- Acceleration of approvals with pre-approved language
- Digitization of inbound DDQs into digital question lists
- AI-powered responses for suggesting approved answers or drafting responses
- Request workflow management for investor requests
- Precedent search for relevant answers to investor queries
Use cases
- Automating contract negotiations
- Managing obligations and entities
- Surfacing insights from legal documents
- Ensuring compliance and managing risk in private markets
- Accelerating workflows in private markets
- Summarizing key legal and business terms in documents
- Answering questions about agreements
- Comparing provisions across documents
- Recommending changes in new documents based on past negotiations
- Providing LLMs real-time access to entity data
- Streamlining routine contract negotiations for private capital markets
- Handling high-volume, routine legal agreements (NDAs, Joinders, Non-Reliance Letters, Reliance Letters, Access Agreements, Commercial & Service Agreements, Vendor Contracts, Engagement Letters, LP Transfer Agreements)
- Managing legal and compliance workflows for CCOs and compliance teams
- Simplifying side letter management
- Complying with investor obligations
- Preparing for SEC exams
- Automating entity management for private equity
- Strengthening compliance and managing financial risk for finance teams
- Monitoring compliance requirements and default triggers
- Tracking debt covenants and satisfying lender commitments
- Reviewing terms from past agreements for new negotiations
- Automating due diligence questionnaires (DDQs)
- Providing consistent, high-quality investor communications
- Streamlining workflows for investment firms
- Attracting capital and fueling growth for investment firms
AI approach
Ontra uses AI, including LLMs, combined with human-in-the-loop processes and a network of legal professionals, to automate and streamline legal workflows for private markets. Their AI capabilities include summarizing key terms, answering questions, comparing provisions, recommending changes based on playbooks, abstracting credit agreements, and generating responses for DDQs.
Tech named: AI, LLM, Generative AI
Industries served
- Private Markets
- Private Equity
- Private Capital Markets
- Investment Firms
- Hedge Funds
What it says sets it apart
- Purpose-built AI for private markets
- Combines AI with a global network of legal professionals (human-in-the-loop)
- Uncompromising data security, privacy, and trust
- Tailored for the scale and specific needs of private market firms
- Ability to manage documents in multiple languages and time zones
- Offers expedited review services for fast turnarounds (as fast as 4 hours)
- Consistent team of legal professionals assigned to clients
- Creates a single source of truth across organizations for compliance and entity data
- Automates data migration using AI and subject matter experts
- Algorithmically generates ownership visualizations for structure charts
- Transforms agreements into structured data by identifying covenants
- Automatically matches and groups new clauses with similar covenants
- Generates covenant names, descriptions, and categories created by AI and reviewed by specialists
- Provides historical insights from current and former agreements for new negotiations
- Centralizes approved answers in a precedent library for DDQs
- Applies purpose-built AI to precedent digitization and answer suggestions for DDQs
- Operationalizes the end-to-end workflow for DDQs
This profile was compiled from Ontra's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.