{
  "schemaVersion": "2.0",
  "generatedAt": "2026-09-12T13:44:57.248Z",
  "compatibility": {
    "legacyMatterFieldsRetained": true,
    "issueDocumentsAreNotTimelineEvents": true
  },
  "matter": {
    "id": "matter-12",
    "slug": "ftc-v-evolv-technologies",
    "titleZh": "FTC 诉 Evolv AI 安检宣传案",
    "formalName": "Federal Trade Commission v. Evolv Technologies Holdings, Inc.",
    "aliases": [
      "FTC v. Evolv",
      "Evolv AI screening case"
    ],
    "summary": "FTC 指控 Evolv 对 AI 安检系统的检测能力、准确性和效率作出误导性宣传；双方提交约定禁令解决争议。",
    "professionalSummary": "联邦法院程序针对《FTC 法》第 5 条下的宣传证据，约定命令限制相关性能主张并要求客户通知；基础指控不因和解自动成为经审事实。",
    "whyItMatters": "它提醒采购方和 AI 供应商，性能指标和“AI 驱动”宣传必须能被实际测试支持。",
    "status": "under-order",
    "primaryTopic": "consumer-protection",
    "secondaryTopics": [
      "product-liability"
    ],
    "aiRoles": [
      "automated-decision",
      "biometrics"
    ],
    "jurisdiction": "美国·联邦·马萨诸塞区",
    "industries": [
      "安防",
      "教育"
    ],
    "significance": {
      "legalNovelty": 24,
      "impactScope": 22,
      "institutionalLevel": 16,
      "crossBorder": 3,
      "sustainedCoverage": 13,
      "total": 78
    },
    "highProfile": true,
    "featured": false,
    "firstPublishedAt": "2026-07-15",
    "lastUpdatedAt": "2026-07-16",
    "proceedings": [
      {
        "id": "matter-12:proceeding-1",
        "matterId": "matter-12",
        "formalName": "Federal Trade Commission v. Evolv Technologies Holdings, Inc.",
        "identifier": "1:24-cv-12940 / FTC Matter No. 2323013",
        "identifiers": {
          "docketNumber": "1:24-cv-12940",
          "agencyFileNumber": "2323013"
        },
        "forum": "U.S. District Court for the District of Massachusetts",
        "jurisdiction": "美国·联邦·马萨诸塞区",
        "type": "civil-litigation",
        "stage": "settlement",
        "status": "under-order",
        "startedAt": "2024-12-05",
        "precedentialWeight": "not-applicable",
        "officialUrl": "https://www.ftc.gov/system/files/ftc_gov/pdf/litigation-status-december_2024.pdf"
      }
    ],
    "events": [
      {
        "id": "matter-12:event-1",
        "matterId": "matter-12",
        "proceedingId": "matter-12:proceeding-1",
        "date": "2024-12-05",
        "type": "settlement",
        "title": "法院批准约定永久禁令",
        "summary": "马萨诸塞联邦地区法院批准约定永久禁令，解决关于 AI 安检宣传的执法案件；和解不构成对所有指控的承认。",
        "documentIds": [
          "matter-12:document-1"
        ],
        "claimIds": [
          "matter-12:claim-1",
          "matter-12:claim-procedure",
          "matter-12:claim-event"
        ]
      }
    ],
    "documents": [
      {
        "id": "matter-12:document-1",
        "familyId": "matter-12:family-1",
        "matterId": "matter-12",
        "eventId": "matter-12:event-1",
        "title": "FTC Semiannual Federal Court Litigation Status Report — Evolv order entered",
        "originalTitle": "FTC Semiannual Federal Court Litigation Status Report — Evolv order entered",
        "url": "https://www.ftc.gov/system/files/ftc_gov/pdf/litigation-status-december_2024.pdf",
        "kind": "official-document",
        "sourceId": "ftc",
        "publishedAt": "2024-12-05",
        "primaryOrSecondary": "primary",
        "relationship": "independent",
        "identifiers": {
          "docketNumber": "1:24-cv-12940",
          "agencyFileNumber": "2323013"
        },
        "locator": "p. 21, FTC v. Evolv Technologies Holdings, Inc.",
        "language": "en"
      }
    ],
    "claims": [
      {
        "id": "matter-12:claim-1",
        "matterId": "matter-12",
        "eventId": "matter-12:event-1",
        "text": "马萨诸塞联邦地区法院批准约定永久禁令，解决关于 AI 安检宣传的执法案件；和解不构成对所有指控的承认。",
        "kind": "procedural-fact",
        "status": "confirmed",
        "documentIds": [
          "matter-12:document-1"
        ],
        "asOf": "2024-12-05"
      },
      {
        "id": "matter-12:claim-procedure",
        "matterId": "matter-12",
        "eventId": "matter-12:event-1",
        "text": "1:24-cv-12940 / FTC Matter No. 2323013 是本站记录的正式程序编号，程序由 U.S. District Court for the District of Massachusetts 处理。",
        "kind": "procedural-fact",
        "status": "confirmed",
        "documentIds": [
          "matter-12:document-1"
        ],
        "asOf": "2024-12-05"
      },
      {
        "id": "matter-12:claim-event",
        "matterId": "matter-12",
        "eventId": "matter-12:event-1",
        "text": "2024-12-05，案卷记录“法院批准约定永久禁令”这一程序节点；该日期与事件由所引直接材料支持。",
        "kind": "procedural-fact",
        "status": "confirmed",
        "documentIds": [
          "matter-12:document-1"
        ],
        "asOf": "2024-12-05"
      }
    ],
    "caseBackground": {
      "narrativeZh": "FTC 在马萨诸塞联邦法院起诉 Evolv Technologies，指控其对 AI 安检系统的检测能力、准确性和效率作出误导性宣传。双方以约定永久禁令解决，命令限制未来性能主张并要求客户通知；基础投诉指控并未因和解自动成为经审事实。",
      "partiesZh": [
        "美国联邦贸易委员会",
        "Evolv Technologies Holdings, Inc."
      ],
      "aiSystemZh": "Evolv AI 安检系统",
      "challengedConductZh": "宣传系统能够准确、高效检测武器或提升安检表现，而被指缺少相称测试支持。",
      "allegedHarmZh": "FTC 主张学校等客户可能依据不准确的性能信息采购和部署安检系统。",
      "proceduralOriginZh": "FTC 以 1:24-cv-12940 / Matter No. 2323013 提起联邦诉讼，法院于 2024 年 12 月 5 日批准约定永久禁令。",
      "claimIds": [
        "matter-12:claim-1",
        "matter-12:claim-procedure",
        "matter-12:claim-event"
      ],
      "documentIds": [
        "matter-12:document-1"
      ]
    },
    "issues": [
      {
        "id": "matter-12:issue-detection-performance",
        "matterId": "matter-12",
        "titleZh": "武器检测性能宣传",
        "questionZh": "Evolv 对系统检测能力和准确性的陈述是否有可靠测试支撑，还是构成 FTC 法第 5 条下的误导？",
        "contextZh": "“AI 驱动”并不替代性能验证，宣传须与真实测试对象、场景和误报漏报表现对应。",
        "topic": "consumer-protection",
        "status": "partly-resolved",
        "courtTreatmentZh": "约定永久禁令限制 Evolv 作出未经充分支持的相关性能主张，但不构成公司承认全部投诉事实。",
        "claimIds": [
          "matter-12:claim-1"
        ],
        "positions": [
          {
            "id": "matter-12:issue-detection-performance:position-1",
            "issueId": "matter-12:issue-detection-performance",
            "sideZh": "FTC",
            "positionZh": "指控检测、准确性和效率宣传具有误导性。",
            "claimIds": [],
            "documentIds": []
          },
          {
            "id": "matter-12:issue-detection-performance:position-2",
            "issueId": "matter-12:issue-detection-performance",
            "sideZh": "Evolv",
            "positionZh": "同意约定禁令解决诉讼；基础指控没有因和解自动成为其承认。",
            "claimIds": [],
            "documentIds": []
          }
        ]
      },
      {
        "id": "matter-12:issue-customer-notice",
        "matterId": "matter-12",
        "titleZh": "采购客户的通知与纠正",
        "questionZh": "既有客户因争议宣传采购系统后，应获得何种通知和纠正机会？",
        "contextZh": "采购方可能已把性能陈述纳入学校或安防部署决策，因此救济不只约束未来广告。",
        "topic": "consumer-protection",
        "status": "open",
        "claimIds": [],
        "positions": [
          {
            "id": "matter-12:issue-customer-notice:position-1",
            "issueId": "matter-12:issue-customer-notice",
            "sideZh": "FTC",
            "positionZh": "要求向受影响客户提供命令规定的通知。",
            "claimIds": [],
            "documentIds": []
          },
          {
            "id": "matter-12:issue-customer-notice:position-2",
            "issueId": "matter-12:issue-customer-notice",
            "sideZh": "Evolv",
            "positionZh": "受约定永久禁令中的客户通知义务约束。",
            "claimIds": [],
            "documentIds": []
          }
        ]
      },
      {
        "id": "matter-12:issue-settlement-evidence",
        "matterId": "matter-12",
        "titleZh": "和解与性能事实认定",
        "questionZh": "约定永久禁令是否证明 FTC 投诉中的每一项技术性能指控均已由法院审理确认？",
        "contextZh": "法院录入救济是已确认程序事实，但约定和解没有经过完整证据审判。",
        "topic": "product-liability",
        "status": "open",
        "claimIds": [],
        "positions": [
          {
            "id": "matter-12:issue-settlement-evidence:position-1",
            "issueId": "matter-12:issue-settlement-evidence",
            "sideZh": "FTC",
            "positionZh": "以投诉指控为基础寻求并取得约定救济。",
            "claimIds": [],
            "documentIds": []
          },
          {
            "id": "matter-12:issue-settlement-evidence:position-2",
            "issueId": "matter-12:issue-settlement-evidence",
            "sideZh": "Evolv",
            "positionZh": "和解不构成对全部基础指控的承认。",
            "claimIds": [],
            "documentIds": []
          }
        ]
      }
    ],
    "decisions": [
      {
        "id": "matter-12:decision-1",
        "matterId": "matter-12",
        "proceedingId": "matter-12:proceeding-1",
        "eventId": "matter-12:event-1",
        "date": "2024-12-05",
        "outcomeZh": "马萨诸塞联邦地区法院批准 FTC 与 Evolv 的约定永久禁令，以宣传限制和客户通知解决案件。",
        "holdingsZh": [
          "约定命令对 Evolv 具有可执行效力。",
          "基础投诉中的技术性能指控没有因和解自动成为经审事实。"
        ],
        "reasoningZh": [
          "救济聚焦对未来 AI 安检性能主张的证据约束，并纠正既有客户可能接收的信息。",
          "法院录入的是双方约定的永久禁令，而不是在审判后对每项性能争议作事实认定。"
        ],
        "reliefZh": "永久限制命令覆盖的检测、准确性和效率宣传，并要求向相关客户发出通知；现有案卷未记录独立金钱救济。",
        "scopeAndLimitsZh": "命令规范 Evolv 的相关产品宣传和客户纠正，不证明所有 AI 安检系统不可靠，也不等于被告承认全部指控。",
        "precedentialWeight": "not-applicable",
        "appealStatusZh": "约定永久禁令已由法院录入，Matter 状态为命令履行中；现有案卷未列上诉或撤销。",
        "documentIds": [
          "matter-12:document-1"
        ],
        "claimIds": [
          "matter-12:claim-1"
        ]
      }
    ],
    "issueDocumentLinks": [
      {
        "id": "issue-document-matter-12-matter-12:issue-detection-performance-knowledge-nist-ai-rmf",
        "matterId": "matter-12",
        "issueId": "matter-12:issue-detection-performance",
        "documentId": "knowledge-nist-ai-rmf",
        "relationship": "technical-context",
        "relevanceSummaryZh": "为能力陈述、测试边界、风险监测和组织问责提供通用技术治理框架；它不替代具体产品和案件证据。 本次规则匹配仅使用本争点文本及其引用主张，命中 3 个确定性争点词；AI 作用分面只用于候选召回。",
        "viewpoint": "descriptive",
        "confidence": 0.9500000000000001,
        "assignedBy": "rule"
      },
      {
        "id": "news-context-link-matter-12-matter-12:issue-detection-performance-news-context-existing-consumer-protections",
        "matterId": "matter-12",
        "issueId": "matter-12:issue-detection-performance",
        "documentId": "news-context-existing-consumer-protections",
        "relationship": "news-context",
        "relevanceSummaryZh": "提供住房、就业、金融、保险和信息环境中现有保护规则与潜在缺口的跨领域地图。 本次规则匹配仅使用本争点文本及其引用主张，命中 3 个确定性争点词。",
        "viewpoint": "descriptive",
        "confidence": 0.95,
        "assignedBy": "rule"
      },
      {
        "id": "issue-document-matter-12-matter-12:issue-customer-notice-knowledge-negligence-ai-human-users",
        "matterId": "matter-12",
        "issueId": "matter-12:issue-customer-notice",
        "documentId": "knowledge-negligence-ai-human-users",
        "relationship": "doctrinal-context",
        "relevanceSummaryZh": "用于分析采购者、专业人士和其他人类使用者在依赖 AI 辅助决定时的注意义务与可预见性。 本次规则匹配仅使用本争点文本及其引用主张，命中 1 个确定性争点词；AI 作用分面只用于候选召回。",
        "viewpoint": "mixed",
        "confidence": 0.8500000000000001,
        "assignedBy": "rule"
      },
      {
        "id": "news-context-link-matter-12-matter-12:issue-customer-notice-news-context-existing-consumer-protections",
        "matterId": "matter-12",
        "issueId": "matter-12:issue-customer-notice",
        "documentId": "news-context-existing-consumer-protections",
        "relationship": "news-context",
        "relevanceSummaryZh": "提供住房、就业、金融、保险和信息环境中现有保护规则与潜在缺口的跨领域地图。 本次规则匹配仅使用本争点文本及其引用主张，命中 1 个确定性争点词。",
        "viewpoint": "descriptive",
        "confidence": 0.8500000000000001,
        "assignedBy": "rule"
      }
    ]
  },
  "issueDocuments": [
    {
      "link": {
        "id": "issue-document-matter-12-matter-12:issue-detection-performance-knowledge-nist-ai-rmf",
        "matterId": "matter-12",
        "issueId": "matter-12:issue-detection-performance",
        "documentId": "knowledge-nist-ai-rmf",
        "relationship": "technical-context",
        "relevanceSummaryZh": "为能力陈述、测试边界、风险监测和组织问责提供通用技术治理框架；它不替代具体产品和案件证据。 本次规则匹配仅使用本争点文本及其引用主张，命中 3 个确定性争点词；AI 作用分面只用于候选召回。",
        "viewpoint": "descriptive",
        "confidence": 0.9500000000000001,
        "assignedBy": "rule"
      },
      "document": {
        "id": "knowledge-nist-ai-rmf",
        "familyId": "knowledge-family-nist-ai-rmf",
        "title": "人工智能风险管理框架 1.0",
        "originalTitle": "Artificial Intelligence Risk Management Framework (AI RMF 1.0)",
        "url": "https://doi.org/10.6028/NIST.AI.100-1",
        "kind": "academic-research",
        "sourceId": "nist",
        "publishedAt": "2023-01-26",
        "author": "Elham Tabassi",
        "primaryOrSecondary": "primary",
        "relationship": "independent",
        "identifiers": {
          "doi": "10.6028/NIST.AI.100-1"
        },
        "language": "en",
        "metadata": {
          "abstractZh": "以治理、映射、测量和管理四组功能组织 AI 风险控制，要求把能力陈述、测试边界、受影响群体、持续监测和问责责任落实到具体使用场景。它是风险管理框架，不直接决定个案法律责任。",
          "venue": "NIST AI 100-1",
          "publisher": "National Institute of Standards and Technology",
          "publicationState": "published",
          "peerReviewed": false,
          "paywalled": false
        },
        "stableIdentifier": {
          "kind": "doi",
          "value": "10.6028/NIST.AI.100-1"
        },
        "legalTopics": [
          "consumer-protection",
          "product-liability",
          "automated-decision-making",
          "professional-responsibility",
          "public-law-human-rights"
        ],
        "aiRoles": [
          "automated-decision",
          "model-output",
          "agentic-action",
          "judicial-professional-use"
        ]
      }
    },
    {
      "link": {
        "id": "news-context-link-matter-12-matter-12:issue-detection-performance-news-context-existing-consumer-protections",
        "matterId": "matter-12",
        "issueId": "matter-12:issue-detection-performance",
        "documentId": "news-context-existing-consumer-protections",
        "relationship": "news-context",
        "relevanceSummaryZh": "提供住房、就业、金融、保险和信息环境中现有保护规则与潜在缺口的跨领域地图。 本次规则匹配仅使用本争点文本及其引用主张，命中 3 个确定性争点词。",
        "viewpoint": "descriptive",
        "confidence": 0.95,
        "assignedBy": "rule"
      },
      "document": {
        "id": "news-context-existing-consumer-protections",
        "familyId": "news-family-existing-consumer-protections",
        "title": "现有消费者保护足以应对 AI 吗？",
        "originalTitle": "Are Existing Consumer Protections Enough for AI?",
        "url": "https://www.lawfaremedia.org/article/are-existing-consumer-protections-enough-for-ai",
        "kind": "professional-commentary",
        "sourceId": "lawfare",
        "publishedAt": "2025-09-03",
        "author": "J. Scott Babwah Brennen; Kevin Frazier; Anna Vinals Musquera",
        "primaryOrSecondary": "secondary",
        "relationship": "independent",
        "identifiers": {},
        "language": "en",
        "metadata": {
          "abstractZh": "文章按住房、就业、金融、保险和信息环境盘点传统消费者保护、反歧视和竞争规则如何覆盖 AI 风险，并标出仍待检验的执法缺口。",
          "venue": "Lawfare",
          "publisher": "Lawfare Institute",
          "publicationState": "published",
          "peerReviewed": false,
          "paywalled": false
        },
        "editorialSummaryZh": "这是一份保护框架地图，而非“现有法律已经足够”的结论。它有助于解释同一自动化行为为什么可能同时涉及消费者保护、差别影响和算法定价。",
        "legalTopics": [
          "consumer-protection",
          "competition",
          "discrimination",
          "automated-decision-making"
        ],
        "aiRoles": [
          "automated-decision",
          "training-data",
          "model-output"
        ]
      }
    },
    {
      "link": {
        "id": "issue-document-matter-12-matter-12:issue-customer-notice-knowledge-negligence-ai-human-users",
        "matterId": "matter-12",
        "issueId": "matter-12:issue-customer-notice",
        "documentId": "knowledge-negligence-ai-human-users",
        "relationship": "doctrinal-context",
        "relevanceSummaryZh": "用于分析采购者、专业人士和其他人类使用者在依赖 AI 辅助决定时的注意义务与可预见性。 本次规则匹配仅使用本争点文本及其引用主张，命中 1 个确定性争点词；AI 作用分面只用于候选召回。",
        "viewpoint": "mixed",
        "confidence": 0.8500000000000001,
        "assignedBy": "rule"
      },
      "document": {
        "id": "knowledge-negligence-ai-human-users",
        "familyId": "knowledge-family-negligence-ai-human-users",
        "title": "过失责任与 AI 的人类使用者",
        "originalTitle": "Negligence and AI’s Human Users",
        "url": "https://doi.org/10.2139/ssrn.3350508",
        "kind": "academic-research",
        "sourceId": "boston-university-law-review",
        "publishedAt": "2020",
        "author": "Andrew D. Selbst",
        "primaryOrSecondary": "secondary",
        "relationship": "independent",
        "identifiers": {
          "doi": "10.2139/ssrn.3350508"
        },
        "language": "en",
        "metadata": {
          "abstractZh": "把多数现实 AI 定位为人类决策辅助工具，分析不可预见错误、人机能力限制、软件脆弱性和统计偏差如何改变使用者的注意义务与可归责性。",
          "venue": "Boston University Law Review 100: 1315–1376",
          "publisher": "Boston University Law Review",
          "publicationState": "published",
          "peerReviewed": false,
          "paywalled": false
        },
        "stableIdentifier": {
          "kind": "doi",
          "value": "10.2139/ssrn.3350508"
        },
        "legalTopics": [
          "product-liability",
          "professional-responsibility",
          "automated-decision-making",
          "consumer-protection"
        ],
        "aiRoles": [
          "automated-decision",
          "judicial-professional-use",
          "model-output",
          "agentic-action"
        ]
      }
    },
    {
      "link": {
        "id": "news-context-link-matter-12-matter-12:issue-customer-notice-news-context-existing-consumer-protections",
        "matterId": "matter-12",
        "issueId": "matter-12:issue-customer-notice",
        "documentId": "news-context-existing-consumer-protections",
        "relationship": "news-context",
        "relevanceSummaryZh": "提供住房、就业、金融、保险和信息环境中现有保护规则与潜在缺口的跨领域地图。 本次规则匹配仅使用本争点文本及其引用主张，命中 1 个确定性争点词。",
        "viewpoint": "descriptive",
        "confidence": 0.8500000000000001,
        "assignedBy": "rule"
      },
      "document": {
        "id": "news-context-existing-consumer-protections",
        "familyId": "news-family-existing-consumer-protections",
        "title": "现有消费者保护足以应对 AI 吗？",
        "originalTitle": "Are Existing Consumer Protections Enough for AI?",
        "url": "https://www.lawfaremedia.org/article/are-existing-consumer-protections-enough-for-ai",
        "kind": "professional-commentary",
        "sourceId": "lawfare",
        "publishedAt": "2025-09-03",
        "author": "J. Scott Babwah Brennen; Kevin Frazier; Anna Vinals Musquera",
        "primaryOrSecondary": "secondary",
        "relationship": "independent",
        "identifiers": {},
        "language": "en",
        "metadata": {
          "abstractZh": "文章按住房、就业、金融、保险和信息环境盘点传统消费者保护、反歧视和竞争规则如何覆盖 AI 风险，并标出仍待检验的执法缺口。",
          "venue": "Lawfare",
          "publisher": "Lawfare Institute",
          "publicationState": "published",
          "peerReviewed": false,
          "paywalled": false
        },
        "editorialSummaryZh": "这是一份保护框架地图，而非“现有法律已经足够”的结论。它有助于解释同一自动化行为为什么可能同时涉及消费者保护、差别影响和算法定价。",
        "legalTopics": [
          "consumer-protection",
          "competition",
          "discrimination",
          "automated-decision-making"
        ],
        "aiRoles": [
          "automated-decision",
          "training-data",
          "model-output"
        ]
      }
    }
  ],
  "sources": [
    {
      "id": "ftc",
      "slug": "ftc",
      "name": "U.S. Federal Trade Commission",
      "homepage": "https://www.ftc.gov/",
      "type": "regulator",
      "grade": "A",
      "primaryOrSecondary": "primary",
      "score": {
        "traceability": 25,
        "corrections": 18,
        "ownershipTransparency": 20,
        "expertise": 20,
        "historicalAccuracy": 15,
        "total": 98
      },
      "rationale": "法院、政府或监管机构自有发布渠道；程序状态以其正式文书与登记信息为准。",
      "methodologyVersion": "1.0",
      "reviewedAt": "2026-07-15"
    },
    {
      "id": "nist",
      "slug": "nist",
      "name": "National Institute of Standards and Technology",
      "homepage": "https://www.nist.gov/",
      "type": "government",
      "primaryOrSecondary": "primary",
      "rationale": "美国政府技术机构自有出版渠道，报告具有正式编号、作者、修订日期和 DOI。",
      "grade": "A",
      "score": {
        "traceability": 25,
        "corrections": 18,
        "ownershipTransparency": 20,
        "expertise": 20,
        "historicalAccuracy": 15,
        "total": 98
      },
      "methodologyVersion": "1.0",
      "reviewedAt": "2026-07-16"
    },
    {
      "id": "lawfare",
      "slug": "lawfare",
      "name": "Lawfare",
      "homepage": "https://www.lawfaremedia.org/",
      "type": "newsroom",
      "primaryOrSecondary": "secondary",
      "rationale": "作者和编辑准则公开，长期提供国家安全、平台治理和科技法分析；具体案件结论仍回溯官方材料。",
      "grade": "A",
      "score": {
        "traceability": 23,
        "corrections": 18,
        "ownershipTransparency": 19,
        "expertise": 19,
        "historicalAccuracy": 13,
        "total": 92
      },
      "methodologyVersion": "1.0",
      "reviewedAt": "2026-07-16",
      "ingestion": {
        "feedEnabled": false,
        "feedUrl": null,
        "verification": "not-verified",
        "allowedUse": "discovery-metadata-and-deep-links"
      }
    },
    {
      "id": "boston-university-law-review",
      "slug": "boston-university-law-review",
      "name": "Boston University Law Review",
      "homepage": "https://www.bu.edu/bulawreview/",
      "type": "academic",
      "primaryOrSecondary": "secondary",
      "rationale": "学生编辑法学评论，学校保存正式发表版本；SSRN DOI 仅作为稳定发现标识。",
      "grade": "A",
      "score": {
        "traceability": 24,
        "corrections": 16,
        "ownershipTransparency": 18,
        "expertise": 18,
        "historicalAccuracy": 12,
        "total": 88
      },
      "methodologyVersion": "1.0",
      "reviewedAt": "2026-07-16"
    }
  ],
  "canonicalUrl": "/cases/ftc-v-evolv-technologies"
}