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HarveyIn development

Harvey: 550 million dollars and models on Chinese bases

What happened

Harvey is developing its first proprietary model, Harvey Tenet, based on open weights from other AI labs.

Source

Article excerpt

Highlighted: the sentence this signal was extracted from

Harvey, the artificial intelligence company for law firms, announced on September 9, 2026, a 550 million dollar round at a valuation of 15.5 billion dollars, co-led by Diffusion and Lightspeed Venture Partners. Its statement says the money will accelerate the company's work to help law firms and in-house legal departments build and "own their intelligence" at scale. The technical report it published on August 20 explains what that intelligence is made of today: its first proprietary model, Harvey Tenet, is based on Kimi K3, the open weights from China's Moonshot AI, and the other three capabilities it trained come from GLM-5.2, from Z.ai, and from Qwen3.8-27B, from Alibaba. None of these bases were built by Harvey. Harvey took Kimi K3, a mixture-of-experts model with 2.8 trillion parameters that Moonshot AI released in July 2026, and post-trained it together with Fireworks using asynchronous reinforcement learning on about 1,750 legal task environments. Each environment includes a client's file, an instruction drafted as a partner's assignment, and a rubric that breaks down that partner's review into pass or fail criteria. The training ran on about 150 NVIDIA B300 GPUs for two months, and the company clarifies that it did not use client data anywhere in the process. Tenet completes almost double the reserved LAB tasks compared to the Kimi K3 base and 20% more in LAB...

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Event
In development

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Product
Harvey Tenet

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Details

Release type
Model

Topics and mentions

Product tags

  • future tech
  • general technology

Extraction

Confidence
90%
Detected
Sep 10, 2026
signal_type
news
signal_subtype
is_developing

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This page shows a preview. The full news record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/cc397c0f-1873-544a-a07e-1069c9522f05 returns this record as JSON. POST /v1/companies/enrich returns every signal for harvey.ai.

{
  "signal_id": "cc397c0f-1873-544a-a07e-1069c9522f05",
  "signal_type": "news",
  "signal_subtype": "is_developing",
  "detected_at": "2026-09-10T08:00:56+00:00",
  "company": {
    "name": "Harvey",
    "domain": "harvey.ai"
  },
  "data": {
    "url": "https://fomoera.com/harvey-levanta-550-mdd-para-dar-modelo-propio-a-los-despachos-los-suyos-parten-de-bases-chinas/",
    "title": "Harvey: 550 million dollars and models on Chinese bases - fomoera.com",
    "excerpt": "Harvey, the artificial intelligence company for law firms, announced on September 9, 2026, a 550 million dollar round at a valuation of 15.5 billion dollars, co-led by Diffusion and Lightspeed Venture Partners. Its statement says the money will accelerate the company's work to help law firms and in-house legal departments build and \"own their intelligence\" at scale. The technical report it published on August 20 explains what that intelligence is made of today: its first proprietary model, Harvey Tenet, is based on Kimi K3, the open weights from China's Moonshot AI, and the other three capabilities it trained come from GLM-5.2, from Z.ai, and from Qwen3.8-27B, from Alibaba. None of these bases were built by Harvey.\nHarvey took Kimi K3, a mixture-of-experts model with 2.8 trillion parameters that Moonshot AI released in July 2026, and post-trained it together with Fireworks using asynchronous reinforcement learning on about 1,750 legal task environments. Each environment includes a client's file, an instruction drafted as a partner's assignment, and a rubric that breaks down that partner's review into pass or fail criteria. The training ran on about 150 NVIDIA B300 GPUs for two months, and the company clarifies that it did not use client data anywhere in the process.\nTenet completes almost double the reserved LAB tasks compared to the Kimi K3 base and 20% more in LAB Contracts...",
    "product": "Harvey Tenet",
    "summary": "Harvey is developing its first proprietary model, Harvey Tenet, based on open weights from other AI labs.",
    "planning": true,
    "image_url": "https://fomoera.com/content/images/2026/09/fomoera-harvey-levanta-550-mdd-para-dar-modelo-propio-a-los-despachos-los-suyos-parten-de-bases-chinas-74ba6b6b-16x9-v2-1600x900.webp",
    "confidence": 0.9,
    "product_data": {
      "name": "Harvey Tenet",
      "full_text": "its first proprietary model, Harvey Tenet",
      "fuzzy_match": false,
      "release_type": "model"
    },
    "product_tags": [
      "future_tech",
      "general_technology"
    ],
    "published_at": "2026-09-10T08:00:56Z",
    "article_sentence": "The technical report it published on August 20 explains what that intelligence is made of today: its first proprietary model, Harvey Tenet, is based on Kimi K3, the open weights from China's Moonshot AI, and the other three capabilities it trained come from GLM-5.2, from Z.ai, and from Qwen3.8-27B, from Alibaba."
  }
}

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