Litify
The legal operating system built on Salesforce for high-growth firms and corporate departments.
Ontra is the preeminent Legal Operating System designed specifically for the private markets, providing an end-to-end solution for high-volume contract automation and fund data management. Built on its proprietary 'Synapse' AI engine—which leverages large language models trained on millions of private market-specific documents—Ontra facilitates the entire lifecycle of legal documents including NDAs, side letters, and joinders. By 2026, Ontra has solidified its position as the critical infrastructure for Global 2000 investment firms, moving beyond simple document storage to proactive obligation management and real-time portfolio compliance. The platform bridges the gap between human legal expertise and machine learning, utilizing a global network of vetted legal professionals to verify AI-generated outputs. This 'human-in-the-loop' architecture ensures 99%+ accuracy for complex legal clauses that generic LLMs typically fail to parse correctly. Ontra's ecosystem includes Insight for document intelligence, Atlas for entity management, and the Contract Automation suite, creating a unified data layer that allows asset managers to transform static legal documents into actionable institutional intelligence.
A proprietary LLM-driven engine fine-tuned on millions of private market documents for high-precision legal extraction.
The legal operating system built on Salesforce for high-growth firms and corporate departments.
The Industry Gold Standard for Legal Table of Authorities and Document Styling Automation.
Automated legal intelligence and risk scoring for the modern enterprise.
Compiling Law into Code: The world's first open-source domain-specific language for computational law.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Digitalizes fund obligations into a searchable, relational database of investor commitments.
Centralized platform for managing complex global entity structures and corporate records.
Anonymized data aggregation that allows firms to see how their terms compare to current market standards.
Rule-based and AI-driven drafting that automatically suggests edits based on the firm's legal playbook.
A dual-layer verification system where AI-extracted data is reviewed by a global network of attorneys.
A real-time tracking interface for all active legal and regulatory deadlines across funds.
Investment teams spend too much time on routine NDAs, delaying deal sourcing.
Registry Updated:2/7/2026
Managing hundreds of specific LP requirements manually is prone to error.
Extracting data from closing sets is slow and expensive for back-office teams.