Harvey
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Headlines · 9
- Harvey launches as a local AI sales agent for Claude Code and Codex
The ethanplusai/harvey project presents Harvey as an open-source AI sales agent that can find prospects, write cold emails, send campaigns, handle replies, and book meetings. Its README says it runs locally through Claude Code or Codex subscriptions without API keys, with Claude as the default and Codex as an opt-in provider on macOS and Linux. These capabilities are vendor claims from the project README and have not been independently verified.
GitHub Trending · Python · 🔥 9 - Anthropic launches Claude for Legal artifacts gallery
Anthropic launched a gallery of ready-to-use interactive artifacts for Claude for Legal, covering citation checks, contract review, jurisdiction comparisons, regulatory tracking and matter management. According to Anthropic, every output links to its source, Claude performs the first pass over user-provided materials, and a lawyer applies professional judgment. The company also says the product now has more than 60 legal connectors, including Bloomberg Law, Filevine, Ivo, Legora and Patlytics.
Claude Blog · 🔥 0 - Context Engineering Emerges as Enterprise AI Agent Battleground
36氪 人工智能 reports that a telecom subsidiary used an Agent platform to reduce monthly invoice-data reconciliation from 31 people working for two days to one worker taking two hours, though the workflow covered only part of the process. The analysis says context engineering is becoming central to enterprise agents, while noting unresolved barriers involving system integration, permissions, latency, cost, organizational silos, and security. It also cites iResearch data indicating broad AI adoption but limited progression into workflow optimization and specialized business processes.
36氪 人工智能 · 🔥 0 - Harvey adds Mary Technology's litigation case-fact tools to its Connector Library
Sydney-based Mary Technology has connected its litigation tool to Harvey through Harvey's Connector Library, Legal IT Insider reported, according to The Next Web. Mary reads a case's documents and builds a record of the people, dates, events and evidence involved, which lawyers then check and confirm; the record tracks where evidence conflicts, where gaps exist and which documents support a claim. Mary says firms keep control of who can access the data and that client files are not used to train AI models, and workflow firm Autologyx also joined Harvey's connector library. Harvey, valued at $15.6B, raised $550M in September, has more than 3,000 customers and released its own legal AI model in August.
The Next Web · 🔥 0 - Microsoft launches Copilot for Legal with 20+ law-specific skills
Microsoft announced Copilot for Legal, a version of its Microsoft 365 Copilot assistant for lawyers and in-house legal teams, offering more than 20 law-specific skills delivered as plugins. In Word desktop, it reviews contracts against a company's playbook and proposes edits in tracked-changes mode that users must approve, while the cross-app Cowork workspace handles multi-document work such as obligation tracking, agreement comparison and case timelines. Microsoft said the capabilities, offered in a Frontier stage since April, have been used by more than 1,800 people to generate nearly 100,000 edit suggestions, about 70% of which were adopted — figures from Microsoft's own usage and internal evaluation, not independent testing. Partners including Bloomberg Law, Thomson Reuters HighQ, DocuSign, Harvey, Relativity, iManage and NetDocuments supply plugins, and Microsoft says AI output still needs professional verification.
cnBeta · 🔥 0 - AI app startups retreat into Agent plugin ecosystems as funding cools
An analysis piece from 硅星人Pro (via Huxiu AI) describes how, as model makers and leading Agent products such as Codex expand, a wave of AI application startups is questioning the standalone-app path and instead packaging video editing, design and browser capabilities as plugins Agents can call directly — among them ChatCut, OpenDesign and Ego Lite. The article says legal AI firm Harvey gained more than 200,000 lawyer users after joining Claude's plugin marketplace, yet interviewees argue plugin features can easily be absorbed natively by model vendors in a future update, leaving only a narrow niche. Other founders are giving up on becoming a new entry point and pivoting to B2B custom delivery and cash-generating businesses, or betting on entertainment products Agents cannot replace (such as original-character apps, Tipsy and Emochi), though those still depend heavily on paid user acquisition.
虎嗅 AI · 🔥 0 - AI startup M&A hits 195 deals this year, OpenAI the most active buyer
Per Crunchbase data, VC-backed AI companies had made 195 acquisitions of AI startups as of Sept 29, 14% more than all of 2025, though only 12 of the deals disclosed a price. OpenAI is the most active buyer of the past three years with 20 AI-related acquisitions, 10 of them this year, followed by Anthropic and legal-AI startup Legora with five each. The largest disclosed deal was Nscale's $1.65B purchase of Anyscale, ahead of Cyera's $1B deal for Oasis Security and Anthropic's $400M acquisition of Coefficient Bio.
智东西 · 🔥 0 - Legora CEO calls software sovereignty an excuse not to compete globally
Legora co-founder and CEO Max Junestrand said at the Wave by Vento event in Turin that talk of "sovereignty" in enterprise applications, consumer apps or the software layer is often an excuse for companies not bold enough to compete globally, since software's market is global. Sovereignty matters for energy, defence and infrastructure, he said, but buyers of enterprise software have offices in Europe, the US and Asia, so a sovereign product "doesn't really make any sense at all" for them. He also argued legal AI will end up with one worldwide winner, and said Legora went from about $1m in revenue to $100m in under 18 months, then to $200m in under six more, with $300m next.
The Next Web · 🔥 0 - Enterprises Shift AI Spend to Open-Weight Models, Pressuring Closed-Model Pricing
Third-party data and company interviews cited in the report show US enterprises moving routine AI workloads off the priciest frontier models and onto cheaper open-weight alternatives. AlphaSense found mentions of "open-weight" or "open source" models on US earnings and investor calls in August–September were six times the year-earlier level; Vercel said open models handled 56% of tokens on its AI Gateway in August versus 7% in December; and Citi data cited by Reuters put OpenRouter's open-model token share at 65% in June, up from 34% in January. Examples include AT&T running roughly 40% of AI workloads on open models with plans to reach 70% within a year, Tinder and Harvey routing routine tasks to open models, and Cursor cutting the cost of building a browser from scratch from over $10,000 with GPT-5.5 alone to $1,339 using its own Composer model plus Anthropic Opus 4.8.
36氪 人工智能 · 🔥 0
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