Ontra - 2026 Pricing, Features, Reviews & Alternatives

Ontra is a cloud-based AI platform that automates negotiation, compliance, and governance workflows for private markets firms, including general partners, limited partners, investment banks, corporate law firms, and advisors. Powered by proprietary data from over 2 million contracts and a global network of more than 600 legal professionals, the platform transforms unstructured documents into structured, expert-validated, actionable intelligence across the full fund lifecycle. Trusted by more than 1,000 global firms, including nine of the top ten PEI-ranked private equity firms worldwide.

The platform delivers a suite of modular solutions. Contract Automation combines AI software with a legal professional network to handle high-volume routine agreements such as NDAs, LP transfer agreements, and vendor contracts on a fixed-fee, usage-based model. Accord provides self-service contract negotiation for in-house teams via digital playbooks, AI-assisted markups, and centralized contract intelligence. Insight for Funds manages LPAs, side letters, and MFN elections through AI abstraction, searchable digital compendia, and obligation compliance workflows. Insight for Credit handles abstraction and obligation management for credit agreements and debt covenants. The DDQ solution automates investor due diligence questionnaire responses using a centralized precedent library. KYC delivers outsourced reverse KYC compliance. Atlas provides AI-powered entity management with a digital single source of truth for ownership structures, governance data, automated structure chart generation, and pro forma modeling. A centralized Document Repository offers searchable storage linked to related projects, funds, or entities.

AI capabilities span document summarization, natural-language contract search with inline citations, side-by-side provision comparison, markup recommendations based on past negotiations, automated clause abstraction, AI-generated DDQ responses traceable to source, and real-time LLM access to entity data via Atlas MCP integration. A human-in-the-loop model pairs AI outputs with review by internal subject matter experts and legal professionals for auditable, high-quality results. Enterprise-grade security includes SOC 2 Type 2 certification across all five trust criteria, ISO 27001:2022 certification, encryption at rest and in transit, US-based hosting, and a strict policy against using customer data to train third-party LLMs.