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§ Private Profile · San Francisco, CA, USA
AI-native platform for contract intelligence, analytics, and lifecycle management, automating insights from unstructured contract data.
Evisort has raised $160.5M across 6 funding rounds.
Key people at Evisort.
Evisort has raised $160.5M in total across 6 funding rounds.
Evisort develops an AI-native platform for contract intelligence, analytics, and lifecycle management that automates insights from unstructured legal data for global enterprises. The enterprise software utilizes machine learning and natural language processing to manage drafting, negotiation, approval, and renewal cycles across procurement, finance, and human resources departments. Prior to its recent acquisition, the software company raised over $155 million in venture capital funding to scale its operations and expand its global enterprise reach. Evisort was backed by venture capital investors including General Atlantic, while serving enterprise customers such as Microsoft, BNY Mellon, and Keller Williams. In October 2024, the enterprise software company Workday officially acquired the platform to integrate its contract analytics capabilities into its broader software ecosystem. Evisort was originally founded in 2016 by Harvard and MIT researchers Jerry Ting, Memme Onwudiwe, and Ming.
Key people at Evisort.
Evisort has raised $160.5M across 6 funding rounds. Most recently, it raised $100.0M Series C in May 2022.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| May 1, 2022 | $100M Series C | TCV | Amara VC, Amity Ventures, Blumberg Capital, Company Capital, General Atlantic, Mohr Davidow Ventures, Mouro Capital, MS&AD Ventures, Placeholder, Plug & Play Ventures, Paul Heydon, Breyer Capital, M12, Vertex Ventures | Announced |
| Feb 1, 2021 | $35M Series B | General Atlantic | Amity Ventures, Placeholder, Paul Heydon, M12, Vertex Ventures | Announced |
| Dec 1, 2019 | $15M Series A | Nagraj Kashyap, IN Rhee | Amity Ventures, Placeholder, Paul Heydon, Serra Ventures | Announced |
| Apr 22, 2019 | $4.5M Seed | Patrick Yang, Village Global | Accenture Ventures, SAP | Announced |
| Feb 1, 2019 | $5M Seed | — | Amity Ventures, Placeholder, Paul Heydon | Announced |
| Jan 1, 2018 | $1M Seed | — | Amity Ventures, Placeholder, Paul Heydon | Announced |
Evisort has raised $160.5M in total across 6 funding rounds.
Evisort's investors include TCV, Amara VC, Amity Ventures, Blumberg Capital, Company Capital, General Atlantic, Mohr Davidow Ventures, Mouro Capital, MS&AD Ventures, Placeholder, Plug & Play Ventures, Paul Heydon.
Evisort is an AI-powered contract intelligence platform that provides end-to-end contract lifecycle management (CLM) and analysis for legal, finance, sales, procurement, and IT teams.[1][2][6] It automates contract review, extraction of key terms, risk analysis, compliance, and workflows, solving the problem of manual, time-consuming contract handling by turning unstructured documents into actionable data with proprietary AI trained on over 11 million contracts.[1][2][5][6] Serving enterprises and growing companies, Evisort delivers rapid ROI within 30 days through no-migration centralization, generative AI for drafting and negotiation, and features like smart OCR for multi-language support.[1][2][3][6] The company demonstrated strong growth, earning Deloitte Technology Fast 500 recognition in 2022 and Gartner accolades as a Visionary in CLM, before its acquisition by Workday in September 2024.[1][5][6]
Founded in 2016 in San Francisco (initially listed as San Mateo in some records) by Harvard Law and MIT alumni, Evisort emerged from a focus on using AI to automate labor-intensive contract analysis, starting with legal operations in larger firms.[1][3][4] The idea stemmed from roots at Harvard Law School, targeting the pain of reading, understanding, and extracting data from contracts—unlike competitors emphasizing workflows, Evisort prioritized AI for content comprehension, categorization, and key term extraction.[4][7] Early traction built through proprietary AI innovations, including expansions to revenue lifecycle management and certifications like SOC 2 Type 2 (2019), ISO 27001, and ISO 27701 as the first AI-native CLM provider.[2][5] Pivotal moments included the 2020 platform launch, 2022 generative AI rollout via Evisort AI Labs, and rapid customer adoption from growth-stage firms to enterprises, culminating in the 2024 Workday acquisition.[1][2][4][5]
Evisort rides the explosive growth of the CLM market, driven by increasingly complex contracts, compliance demands, and AI adoption in legaltech, where solutions streamline drafting to renewal amid rising regulatory and risk pressures.[1][4] Timing aligns with generative AI's rise post-2022, positioning Evisort as a pioneer in contract-specific LLMs and analytics, shifting CLM from process-focused to intelligence-driven tools that boost revenue cycles and enterprise efficiency.[2][4][9] Market forces like digital transformation in legal/finance and AI's maturation favor it, with competitors like DocuSign and Ironclad following suit by adding AI.[1][9] Its Workday acquisition amplifies influence, integrating contract intelligence into broader enterprise software ecosystems, accelerating AI-legaltech convergence.[1][6]
Post-acquisition by Workday, Evisort's trajectory points to deeper enterprise integration, leveraging Workday's scale to expand its AI-native CLM into HR-finance synergies and global markets.[1][6] Trends like agentic AI, multi-modal contract processing, and regulatory AI (e.g., EU AI Act) will shape it, demanding evolving proprietary models for customized use cases.[2][5] Influence may grow by redefining CLM as a revenue intelligence hub, potentially dominating as AI parses more nuanced business data—echoing its founding mission to automate the "60 billion doc review market" with scalable, secure intelligence.[7]