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  "documentTitle": "Legal-tech startup Della used this 14-page pitch deck to raise $2.5 million in seed funding",
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  "authorName": "Della",
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      "kind": "list",
      "text": "... they sell AI capabilities rather than solving the user’s problem end to end. Data extraction is often the first task in a longer process. They create pre-trained models for common use cases using similarity detection.",
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      "kind": "list",
      "text": "Existing Legal AI focus on limited, simple use cases. Either extracting information for 10,000 similar documents. Or, focusing on in depth analysis of simple documents (ie. NDAs).",
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      "text": "... And they are costly to adapt to new projects. Requiring days if not weeks of work before knowing if the AI solution can even help.",
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      "text": "Existing approaches struggle to adapt to complex problems: the AI is not trained to respond to unique and unusual situations",
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      "arcSlug": "problem-agitate-solution",
      "beatName": "Problem (Identify pain)",
      "beatSlug": "problem-agitate-solution-problem-identify-pain",
      "evidence": "The pitch deck identifies the pain points of manual legal document review and the complexity of legal documents.",
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      "name": "Cost Of Inaction",
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