{
  "meta": {
    "generated": "2026-10-20",
    "count": 90,
    "license": "CC BY 4.0 — attribute \"MRR Ledger\" with a link",
    "docs": "https://mrrledger.com/for-agents/",
    "tiers": {
      "venture": {
        "label": "Venture-backed",
        "note": "Has raised outside venture funding (e.g. Y Combinator or VC rounds). Says nothing about revenue size."
      },
      "indie": {
        "label": "Indie",
        "note": "Bootstrapped or founder-funded; no venture round on record. Says nothing about revenue size."
      },
      "experiment": {
        "label": "Experiment",
        "note": "Agent-run or research experiment rather than a conventional company."
      }
    },
    "tier_note": "Tier is about funding, not size: Venture-backed = raised outside venture money (even at under $1M annualized); Indie = bootstrapped or founder-funded; Experiment = agent-run or research project.",
    "source_sync_stale_note": "source_sync_stale_since (YYYY-MM-DD) = the source page says its live data connection (e.g. a TrustMRR Stripe key) stopped; value is the last synced figure, dated that day.",
    "endpoint": "/api/v1/compare.json"
  },
  "a": {
    "slug": "harvey",
    "name": "Harvey",
    "category": "legal",
    "tier": "venture",
    "tier_label": "Venture-backed",
    "tier_note": "Has raised outside venture funding (e.g. Y Combinator or VC rounds). Says nothing about revenue size.",
    "one_liner": "AI legal platform for research, drafting, and diligence at firms and corps.",
    "business_model": "Enterprise seat subscriptions",
    "founded": 2022,
    "annualized_revenue_usd": 400000000,
    "annualized_revenue_basis": "ARR",
    "confidence": null,
    "source_sync_stale_since": null,
    "lessons": [
      "Land-and-expand seat growth drives legal AI ARR.",
      "Domain founders (ex-lawyer + researcher) help sell into regulated buyers."
    ],
    "url_profile": "https://mrrledger.com/b/harvey/",
    "growth_series": [
      {
        "as_of": "2025-08",
        "annualized_usd": 100000000,
        "label": "ARR",
        "value_usd": 100000000,
        "value_text": "$100M ARR ~3 years after launch; 500+ customers",
        "source_url": "https://www.cnbc.com/2025/08/04/legal-ai-startup-harvey-revenue.html",
        "source_name": "CNBC (company announcement)",
        "confidence": null,
        "annualization": null,
        "source_sync_stale_since": null
      },
      {
        "as_of": "2026-01",
        "annualized_usd": 190000000,
        "label": "ARR",
        "value_usd": 190000000,
        "value_text": "$190M ARR in January 2026 (CNBC, up from the $100M the company announced in Aug 2025)",
        "source_url": "https://www.cnbc.com/2026/03/25/legal-ai-startup-harvey-raises-200-million-at-11-billion-valuation.html",
        "source_name": "CNBC",
        "confidence": "reported",
        "annualization": null,
        "source_sync_stale_since": null
      },
      {
        "as_of": "2026-09",
        "annualized_usd": 400000000,
        "label": "ARR",
        "value_usd": 400000000,
        "value_text": "crossed $400M ARR; added over $100M ARR in Q3 2026; 97% GRR",
        "source_url": "https://x.com/harvey/status/2105675947693183113",
        "source_name": "Harvey on X (Q3 2026 recap)",
        "confidence": null,
        "annualization": null,
        "source_sync_stale_since": null
      }
    ],
    "verified_corroboration": null
  },
  "b": {
    "slug": "legora",
    "name": "Legora",
    "category": "legal",
    "tier": "venture",
    "tier_label": "Venture-backed",
    "tier_note": "Has raised outside venture funding (e.g. Y Combinator or VC rounds). Says nothing about revenue size.",
    "one_liner": "Agentic AI operating system for legal research, review, drafting, and multi-step workflows.",
    "business_model": "Enterprise seat / platform subscriptions for law firms and corporate legal teams",
    "founded": 2023,
    "annualized_revenue_usd": 200000000,
    "annualized_revenue_basis": "ARR",
    "confidence": null,
    "source_sync_stale_since": null,
    "lessons": [
      "Embed with a flagship firm early (Mannheimer Swartling) so agentic workflows are built against real legal work, not demos.",
      "Company-stated $1M→$100M ARR in 18 months after GA, then $100M→$200M in under six months (CEO, Sep 2026), is the kind of receipt vertical agent platforms need to earn enterprise trust."
    ],
    "url_profile": "https://mrrledger.com/b/legora/",
    "growth_series": [
      {
        "as_of": "2024-10",
        "annualized_usd": 1000000,
        "label": "ARR",
        "value_usd": 1000000,
        "value_text": "$1M ARR starting point of the company's stated 18-month climb to $100M (GA launched Oct 2024)",
        "source_url": "https://legora.com/newsroom/legal-teams-adoption-of-ai-propels-legora-past-100-million-in-annual-recurring-revenue",
        "source_name": "Legora press release (Apr 2, 2026)",
        "confidence": null,
        "annualization": null,
        "source_sync_stale_since": null
      },
      {
        "as_of": "2026-04",
        "annualized_usd": 100000000,
        "label": "ARR",
        "value_usd": 100000000,
        "value_text": "surpassed $100M ARR; 1,000+ customers across 50 markets; $1M→$100M in 18 months",
        "source_url": "https://legora.com/newsroom/legal-teams-adoption-of-ai-propels-legora-past-100-million-in-annual-recurring-revenue",
        "source_name": "Legora press release",
        "confidence": null,
        "annualization": null,
        "source_sync_stale_since": null
      },
      {
        "as_of": "2026-09",
        "annualized_usd": 200000000,
        "label": "ARR",
        "value_usd": 200000000,
        "value_text": "Passed $200M annual recurring revenue (\"last week\", per CEO Max Junestrand's Sep 22 2026 post); $100M to $200M in under six months; 130,000 monthly lawyer users across 2,100 firms and legal teams in 80+ countries; US now largest market by revenue",
        "source_url": "https://x.com/MaxJunestrand/status/2102368939896361182",
        "source_name": "Max Junestrand (Legora CEO) on X, Sep 22 2026; same figure on Legora's company LinkedIn",
        "confidence": null,
        "annualization": null,
        "source_sync_stale_since": null
      }
    ],
    "verified_corroboration": null
  },
  "diff": {
    "annualized_a": 400000000,
    "annualized_b": 200000000,
    "ratio": 2,
    "same_category": true,
    "same_tier": true,
    "same_slug": false
  }
}