Isaacus
AI 为主为律所、企业、政府和法律技术团队提供可通过在线平台、API 或私有部署使用的法律 AI 模型，用于法律文档检索、分类、信息提取和知识图谱构建。
isaacus.com 源码★ 8 Discord RedditAI 模型与智能体 / 模型 API 与网关
- 月访问
- <5K
- 2026 年 10 月
- 公开收入
- 未公开
- 暂无公开收入证据
- 入门价
- 按量付费
- 没有月付订阅价
- 首次发布
- 21 个月前
- 2025-03-09 · 估算
访问
营销动作
发布、搜索与内容、引荐、促销- 用交互可视化与猜词游戏理解向量嵌入 — 机器学习工程师用交互可视化讲解向量嵌入，并设计含 43,339 个英语词的地图游戏，帮助理解语义空间。
r/LocalLLaMA · u/Neon0asis · 2026-11-05 · 72 赞 (93%) · 7 评论
在 Show HN 发布（2 分 · 1 评论）发布
What are vector embeddings? An interactive guide — Hey HN, I'm Abdur-Rahman Butler, a machine learning engineer at Isaacus. I made an interactive write-up that walks you through the A to Z…
10 月 14 日 · 33 天前发布页
当时 月访问 5.1K访问：之前 1 个月 -55%，之后 1 个月 -81%同期还有 17 个动作在 Show HN 发布（4 分）发布
I built a Harvey-style tabular review app, then open sourced the code — I spent the past couple of weekends building an open-source alternative to Harvey/Legora's popular tabular review application for lawyers.…
4 月 9 日 · 7 个月前发布页
在 Show HN 发布（1 分）发布
Isaacus – the legal AI research company — Hey HN, This is Isaacus, a legal AI research company that my brother, Abdur-Rahman Butler, and I, Umar Butler, founded last year and have…
3 月 10 日 · 8 个月前发布页
在 Show HN 发布（10 分 · 6 评论）发布
Kanon 2 Enricher – the first hierarchical graphitization model — Hey HN, This is Kanon 2 Enricher, the first hierarchical graphitization model. It represents an entirely new class of AI models designed t…
3 月 3 日 · 9 个月前发布页
在 Show HN 发布（4 分 · 1 评论）发布
Legal RAG Bench — Hey HN, This is Legal RAG Bench, the first benchmark for legal RAG systems to simultaneously evaluate hallucinations, retrieval failures,…
2 月 20 日 · 9 个月前发布页
第三方评测与案例拆解
获客渠道拆解、工程师评测与开源档案- 创作者原帖摘录：
- Hey HN, Over the past couple months, we, a team of Aussie legal and AI experts, have been working on building a new type of legal AI company — a company that, instead of trying to automate legal jobs, is trying to automate legal tasks. We want to make lawyers’ lives easier, not replace them. We’ve been laser-focused on building small and efficient yet still
- 创作者原帖摘录：
- Hey HN, This is Legal RAG Bench, the first benchmark for legal RAG systems to simultaneously evaluate hallucinations, retrieval failures, and reasoning errors. The key takeaways of our benchmark are: 1. Embedding models, not generative models, are the primary driver of RAG accuracy. Switching from a general-purpose embedder like OpenAI's Text Embedding 3 Lar
- 创作者原帖摘录：
- Hey HN, This is Kanon 2 Enricher, the first hierarchical graphitization model. It represents an entirely new class of AI models designed to transform document corpora into rich, highly structured knowledge graphs. In brief, our model is capable of: - Entity extraction, classification, and linking: identifying key entities like individuals, companies, governm
- 创作者原帖摘录：
- Hey HN, This is Isaacus, a legal AI research company that my brother, Abdur-Rahman Butler, and I, Umar Butler, founded last year and have been working full time on ever since. We make legal AI models. We recently released two state-of-the-art legal information retrieval models, Kanon 2 Embedder and Kanon 2 Reranker. Together, they rank first on Legal RAG Ben
- 创作者原帖摘录：
- I spent the past couple of weekends building an open-source alternative to Harvey/Legora's popular tabular review application for lawyers. The project was sparked by a viral LinkedIn post from lawyer Joshua Upin, who described being shown a hallucinated citation by Harvey that was falsely attributed to one of Harvey’s competitors. Seeing such a basic failure
- 创作者原帖摘录：
- Hey HN, I'm Abdur-Rahman Butler, a machine learning engineer at Isaacus. I made an interactive write-up that walks you through the A to Z of vector embeddings, inspired by Brendan Bycroft's incredible interactive LLM visualisation guide (see here - https://bbycroft.net/llm ). Most of my work is on encoder models, and I kept noticing how few good interactive
开源仓库与自部署
流量来源
访问构成
这个网站的访问渠道与国家构成还没有数据。
搜索
站点权重 —域名注册 未知
这个网站还没有搜索关键词数据。
流量数据：Vaneform
定价
试用：未提供 · 设企业定制档 · 观察于 2026-11-09 · 原定价页
页面与变化
关键页面
每周快照变化
问题与证据
- Isaacus 的价格是多少？
- Pay as you go: 未知; Advanced: 联系销售. 观察于 2026-11-09。 当前计费条件、用量限制与税费以来源页面为准。来源
- Isaacus 的网站访问量是多少？
- Vaneform 估算 2026-10 网站访问量为 <5K。访问量包含重复访问，付费客户数与收入需分别查看对应证据。来源
- Isaacus 是什么产品，支持哪些平台？
- Isaacus 归属「模型 API 与网关」赛道：为律所、企业、政府和法律技术团队提供可通过在线平台、API 或私有部署使用的法律 AI 模型，用于法律文档检索、分类、信息提取和知识图谱构建。。 支持平台包括：开放 API。
- Isaacus 是开源项目吗？采用什么协议？
- Isaacus 拥有公开代码仓库（https://github.com/isaacus-dev/cookbooks），已公开源代码仓库，记录有 8 个 GitHub Stars。来源
同分类研究对象
这些产品属于同一目录分类。选型时请进一步核对客户任务、功能与部署要求。