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SPD-BEEHIIV:81714b7f-2938-494b-a9ce-253f0d6431f3:R8:ba77b29a45feb836a7dae43dHarvey and Legora can build on Astra for Law, while planned software integrations are not yet live.
| Daily issue / The Internet Edition | Friday, September 18, 2026 |
| | Our toolsSuperpower ChatGPT/WFH.team/Snipman | Today's briefing What matters todayToday’s releases move AI deeper into professional workflows, from OpenAI’s legal platform and Anthropic’s cloud coding projects to Mapbox’s location-aware tools. At the same time, researchers and companies surfaced the limits: costly agent fleets, security exposure, and a rare training failure. | Inside today's briefing | | 01 | OpenAI’s Astra for Law pairs GPT-6 Astra with U.S. legal materials, but access initially goes only to selected firms. | | 02 | Anthropic’s Claude Code beta can delegate work across isolated cloud sessions, though developers still resolve merge conflicts. | | 03 | Google researchers report up to 162 times fewer discovery-agent calls by replaying past searches, not identical runtime tests. | | 04 | Mapbox’s Traffic 2.0 is live, while its Places API and natural-language queries remain in public preview. |
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 | Lead story / launch OpenAI launches a legal AI platform for selected firmsOpenAI has launched Astra for Law, a platform for legal research, drafting advice, and custom legal applications. The initial rollout is limited to selected law firms, with OpenAI citing protections for confidential client work. The platform is built on GPT-6 Astra and paired with an index of U.S. case law, statutes, regulations, and other legal materials. It also includes specialized instructions for legal analysis and writing. OpenAI describes research and drafting as intended uses, rather than independently verified performance results. OpenAI said Harvey and Legora can build legal products on Astra for Law. It also expects integrations with Relativity, Clio, Intapp, and Thomson Reuters, though those connections have been announced as planned rather than demonstrated as live. Sullivan & Cromwell, Ropes & Gray, Cooley, Latham & Watkins, and Wachtell Lipton helped test and develop applications. The launch brings legal source material, selected-firm access, and a prospective software ecosystem into one product, while the eventual deployment scope remains unclear. Read full story ↗ |
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 | A tool for your workflowSnipmanSave your best replies once, then insert complete answers wherever you work. | | | |
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 | launch Anthropic launches a coordinator for parallel Claude Code sessionsAnthropic’s beta redesign gives Claude Code Projects a coordinator that can split a larger goal across isolated cloud sessions, review outputs, and assemble changes. Each worker has its own repository branch and can run tests or open pull requests, while shared project memory carries requirements and decisions across threads. Continue reading ↗ |
 | research Google researchers reuse past agent runs to test new search strategiesGoogle-led researchers introduced Dream-RSI, which records an agent’s search history and replays it to test alternative exploration policies instead of rerunning code and evaluation. Continue reading ↗ |
 | models OpenAI researcher says large agent teams have limitsNoam Brown says agent teams are mainly a way to reduce waiting time when one model’s longer reasoning becomes impractical, not a universal scaling method. In OpenAI evaluations, four agents were roughly twice as fast as one on some tasks, while 16 continued to improve results with diminishing efficiency. Continue reading ↗ |
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 | Reader tool / From our teamSnipmanSave reusable snippets and insert complete replies without leaving your workflow. |  |
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