{
  "docId": "019dd923-5fed-74f2-a96e-ca1b59bf3a96",
  "docSlug": "bi-a0dc4029dfa69804",
  "documentTitle": "Legal startup Genie AI secures funding from Google Ventures",
  "authorId": "Pitchdecks",
  "authorName": "Genie AI",
  "documentKindSlug": "pitchdeck",
  "documentKindLabel": "Pitch deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.777,
  "pageNumber": 4,
  "pageCount": 13,
  "prevPage": 3,
  "nextPage": 5,
  "slideType": "market_sizing",
  "function": "size_opportunity",
  "density": "balanced",
  "nDataPoints": 12,
  "notes": "The slide uses a highlight box to emphasize the target segment (51-250 employees).",
  "elementsJson": [
    "action_title",
    "data_table",
    "footnote"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5fed-74f2-a96e-ca1b59bf3a96/4",
  "deckHref": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96",
  "deckJsonHref": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96.json",
  "deckAnchorHref": "/decks/019dd923-5fed-74f2-a96e-ca1b59bf3a96#slide-4",
  "components": [
    {
      "bbox": null,
      "kind": "metric",
      "text": "Annual Spend (legal contracts): £189,567",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-c0ac-7341-b362-542fcb308a0c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.02,
        "w": 0.34,
        "x": 0.33,
        "y": 0.86
      },
      "kind": "source-note",
      "text": "90 Genie customer responses in survey - data available upon request",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "2cf0b3a2-bc25-434f-bae5-2d058a7d168e",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.438,
        "w": 0.584,
        "x": 0.208,
        "y": 0.281
      },
      "kind": "table",
      "text": "Company size, Annual Spend (All of legal), Annual Spend (legal contracts), Data Security Restrictions & procurement cycles, 1-50, £108,728, £50,774, Low, 51-250, £330,000, £189,567, Medium, 250-1000, £342,500, £220,125, High",
      "attrs": null,
      "subkind": "data",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "d3eae7ee-8dcd-4d00-a4a5-485f7bfcd9a4",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.82,
        "x": 0.09,
        "y": 0.06
      },
      "kind": "title",
      "text": "We focus on midmarket businesses, who spend £189,567 a year on legal documents",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "3c0cc127-41b9-449e-bef8-1b6dae2c9a46",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [
    {
      "name": "market-segmentation-pyramid",
      "slug": null,
      "matchId": "ed54c544-a779-4b09-8167-b3f43832cb4a",
      "evidence": "The slide segments the market by company size to identify a target customer profile.",
      "confidence": 0.8
    }
  ],
  "arcBeats": [
    {
      "to": 4,
      "from": 2,
      "beatId": "e91ecb23-7213-405d-aa9e-8fc594563a33",
      "arcName": "The Sequoia Pitch",
      "arcSlug": "sequoia-pitch",
      "beatName": "Problem",
      "beatSlug": "sequoia-pitch-problem",
      "evidence": "The deck presents the problem and market opportunity on pages 2-4",
      "position": 0,
      "confidence": 0.8,
      "parentBeatName": "Complication",
      "parentBeatSlug": "complication"
    }
  ],
  "loops": [
    {
      "to": 9,
      "from": 4,
      "name": "Cost Of Inaction",
      "slug": "27-cost-of-inaction",
      "bestFor": "Urgent budget requests, compliance, risk mitigation",
      "matchId": "d83c27f1-ffd9-4649-8b34-f425cb3db217",
      "evidence": "The deck implies the cost of inaction by highlighting the inefficiency of current legal document processing",
      "position": 0,
      "objective": "What is the cost of not using Genie AI?",
      "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
      "confidence": 0.6,
      "description": "Quantify what happens if the audience does nothing"
    },
    {
      "to": 13,
      "from": 2,
      "name": "Quick Win Big Bet",
      "slug": "47-quick-win-big-bet",
      "bestFor": "Transformation planning, 100-day plans, resource allocation",
      "matchId": "369ead70-e49a-442a-acbd-add78f293efb",
      "evidence": "The deck presents Genie AI as a solution with traction and growth potential",
      "position": 1,
      "objective": "Can Genie AI provide a quick win and a big bet for investors?",
      "structure": "The Full List -> Quick Wins (Low effort, High impact) -> Big Bets (High effort, High impact) -> Sequenced Roadmap",
      "confidence": 0.6,
      "description": "Separate initiatives into immediate wins and longer-term strategic bets"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}