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 "name": "Historical Fa4B5Cf8C8025C496625",
 "text": "Algorithmic regulation and the rule of law should be assessed against Kaal's source-bound claim that The rapid adoption of deep learning and predictive analytics in law was driven by two enabling conditions: the increasing availability of digitized legal data and the computational power to process it. The current metadata indicates a plausible connection through algorithmic regulation, but the defensible response is a qualification until the source text confirms agreement, scope, methods, and limitations.",
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  "identifier": "https://orcid.org/0009-0008-7840-1847"
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  "the 2010s wave of deep learning tools in legal practice",
  "External evidence level: abstract indexed.",
  "Mapping review tier: mapping review before claim review.",
  "The literature-to-claim mapping remains explicitly ambiguous and should not be treated as a settled equivalence."
 ],
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  "url": "https://www.semanticscholar.org/paper/a61faf952ae0255163e929e1990766e3c7eadded"
 },
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  "identifier": "kaal:claim:5541658-004",
  "url": "https://wulfkaal.github.io/claims/5541658-004",
  "citation": "Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law (2025). SSRN: https://ssrn.com/abstract=5541658",
  "paper": "Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2025",
  "ssrn": "https://ssrn.com/abstract=5541658",
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 "candidateId": "kaal:response-candidate:2026-07-31:9853171bf2826a31",
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 "mappingWhyRelevant": "Shared high-information concepts: law, driven, data, legal, artificial, intelligence, learning, technologies. Scope: the 2010s wave of deep learning tools in legal practice.",
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  "retrievedAt": "2026-07-31T13:58:30.108Z",
  "citationCount": 145,
  "venue": "Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences",
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