{
  "schema_version": "1.1",
  "id": "s2:https://openai.com/index/legora",
  "slug": "legora-03roam1",
  "url": "https://feed7.dev/p/legora-03roam1",
  "title": "Legora is building the agentic operating system for legal work",
  "why_included": "Legora uses OpenAI models, ChatGPT, and Codex in legal workflows, including contract analysis. It offers a concrete example of coding-agent products being used in a specialized professional domain.",
  "summary": "Legora uses **OpenAI models, ChatGPT, and Codex** to support legal workflows, including contract analysis.",
  "practical_implication": "Builders can treat this as an example of agents being applied to a specialized workflow where document analysis may free people for higher-value work.",
  "agent_context": "Legora uses **OpenAI models, ChatGPT, and Codex** to support legal workflows, including contract analysis.\n\nBuilders can treat this as an example of agents being applied to a specialized workflow where document analysis may free people for higher-value work.\n\nThe material does not describe the system design, measured results, or which tasks each product handles, so it offers little implementation detail.",
  "source": {
    "name": "OpenAI",
    "url": "https://openai.com/index/legora",
    "published_at": "2026-10-28T09:30:00.000Z"
  },
  "source_class": "blog_post",
  "content_type": "Official Release",
  "layer": "industry",
  "domains": [
    "coding",
    "research"
  ],
  "topics": [
    "enterprise",
    "adoption",
    "coding-agents"
  ],
  "verification": {
    "status": "official_source",
    "label": "Official Source",
    "method": "source_feed",
    "verified_at": null
  },
  "uncertainty": [
    "The material does not describe the system design, measured results, or which tasks each product handles, so it offers little implementation detail."
  ],
  "connected_context": {
    "meaning": "This adds legal work, including contract analysis, as a specialized setting for OpenAI models, ChatGPT, and Codex. It broadens the enterprise use cases but does not show how the products divide tasks or establish measured gains, leaving implementation and results unclear.",
    "corpus_size": 955,
    "generated_at": "2026-10-29T11:08:52.311Z",
    "connections": [
      {
        "title": "Australian Payments Plus moves faster with ChatGPT and Codex",
        "source_name": "OpenAI",
        "source_url": "https://openai.com/index/australian-payments-plus",
        "feed7_url": "https://feed7.dev/p/australian-payments-plus-18s6gt2",
        "reason": "Both describe ChatGPT and Codex used in a specialized professional domain, but Australian Payments Plus mentions human judgment while Legora provides no comparable workflow detail."
      },
      {
        "title": "NTT DATA Group cuts incident analysis to 30 minutes with Codex",
        "source_name": "OpenAI",
        "source_url": "https://openai.com/index/ntt-data",
        "feed7_url": "https://feed7.dev/p/ntt-data-1sgidqg",
        "reason": "NTT DATA supplies a reported incident-analysis time and deployment scale, highlighting that Legora's account adds a legal use case but no comparable outcome evidence."
      },
      {
        "title": "Airbnb widens access to GPT-6 Astra and OpenAI frontier models",
        "source_name": "OpenAI",
        "source_url": "https://openai.com/index/airbnb-gpt-6-astra",
        "feed7_url": "https://feed7.dev/p/airbnb-gpt-6-astra-1t3jth8",
        "reason": "Airbnb describes engineering tasks across bug investigation and system design; Legora extends the enterprise adoption picture into legal work without explaining task allocation or system design."
      }
    ]
  },
  "lifecycle": "Current",
  "published_at": "2026-10-28T09:30:00.000Z",
  "modified_at": "2026-10-28T09:30:00.000Z",
  "supersedes": [],
  "expires_at": null,
  "formats": {
    "html": "https://feed7.dev/p/legora-03roam1",
    "json": "https://feed7.dev/p/legora-03roam1.json",
    "markdown": "https://feed7.dev/p/legora-03roam1.md"
  }
}