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Earlier this week we hosted the “Women Shaping the Future of AI in Law” panel, bringing together leaders across legal, AI, and enterprise technology to discuss what it actually takes to build reliable AI systems for the legal industry. The conversation covered where AI is already driving real value in legal workflows, the challenges that still remain around trust, accuracy, and human oversight, and how the industry is thinking about building systems that can perform consistently in real-world legal environments. A huge thank you to Anique Drumright, D. Isabel Ajuria, Shannon Yavorsky, Isabel Yishu Yang, and Amy Sennett for an incredible discussion, and to Bidisa Mukherjee from Women in AI Club for co-hosting! The future of legal AI will depend on more than model capability alone. It will require deep collaboration between AI builders, legal experts, and the enterprises bringing these systems into real-world workflows.

Today we’re releasing Realm Warren, part of the Realm benchmark series for measuring frontier AI models on real-world expert workflows. Each task tests whether a model can produce a legal work product and adapt it as circumstances evolve. We evaluated Claude Opus 4.7, GPT-5.5, and Gemini 3.1 Pro across federal and state law, scored through IRAC: issue spotting, rule identification, factual application, and legal conclusion. Here’s the results (mean score): -Claude Opus 4.7: 0.358 -GPT-5.5: 0.351 -Gemini 3.1 Pro: 0.219 The sub-40% result shows where models break down on long-horizon legal work. Three failure modes drive it: the IRAC chain breaks after issue spotting, models front-load their effort and fail to revise, and skipping visual exhibits leads to invented facts. Full report linked in the comments.

Just a few days into joining micro1, I’ve already been really impressed by the level of research and depth of conversations happening here around AI adoption in the enterprise world. We recently surveyed 63 finance professionals, and having come from the payments world, a few numbers stood out to me: • 50% said their company already has a company-wide AI mandate • Only 3% have autonomous agents deployed in production today Honestly, this lines up pretty closely with what I’ve been hearing across the market. There’s a lot of excitement around finance agents, but moving from exploration to actual deployment is often proving much harder than expected. On 5/12 at 10am PST, Ryan Charnov, our Director of Finance Research, will break down the three structural barriers we consistently see blocking production deployments — evaluation gaps, token economics, and compliance — plus what the teams successfully deploying agents are actually doing differently. If you’re working anywhere near AI, automation, future of payments, or finance transformation, I think you’ll find this discussion interesting 🙂 Register here: https://lnkd.in/gDjkgGkK

We’re hosting an event on May 6th for "Women Shaping the Future of AI in Law" with Women in AI Club in SF - bringing together founders and operators building the future of AI in law. We’ll cover where AI is delivering real value today, what challenges remain, what it means for legal careers, and how humans and AI are working together to build better legal AI systems. We'll hear from: - Anique Drumright, CPO at Harvey - D. Isabel Ajuria, Attorney at Anthropic - Isabel Yishu Yang, Director of Legal Research at micro1 - Shannon Yavorsky, Partner and Co-Head of AI at Orrick, Herrington & Sutcliffe LLP Moderated by Amy Sennett, General Counsel & Corporate Secretary at micro1. If you’re working at the intersection of AI and law, we'd would love to have you there. Register here: https://luma.com/8tepkh7r

In recognition of National Cancer Prevention and Early Detection Month, join us for an important conversation on how AI is reshaping the future of cancer care. From accelerating drug discovery to enabling more accurate, scalable diagnostics, artificial intelligence is unlocking new possibilities across prevention, early detection, and treatment. We’ll also dive into the real challenges, data quality, bias, interpretability, and bridging the gap between research breakthroughs and real-world clinical impact. Featuring: •Virginie Buggia-Prevot, PhD (Executive Director, Valo Health) •Bahar Rahsepar, PhD (Associate Director of Product, PathAI) •Paola Rodríguez - MD, Eng, MSc. (Director of Medical Research, micro1) Moderated by Mark Esposito, PhD (Chief Economist, micro1) This session brings together leading voices at the intersection of AI and healthcare to explore how human + AI are transforming patient outcomes. Join us on 4/28, 10am PT: https://lnkd.in/egHMwJ7s

Dan Heffernan has led sales teams at some of the biggest names in tech and now is making his mark in AI. In this conversation, he breaks down why the human element is the secret behind the best models, and how he's putting that belief into action at micro1 while training frontier AI. Watch the full interview on YouTube now! (Link in the comments)

micro1 x Crosby: AI Fellowship for SaaS Contracting Attorneys We've teamed up with Crosby to launch an AI Fellowship for SaaS Contracting Attorneys, and we're looking for attorneys with deep expertise in tech transactions to help us shape how AI handles real legal work. Here's what the fellowship looks like: - Simulated contract negotiations and redlining exercises - Evaluating AI-generated suggestions for accuracy and legal soundness - Collaborating with product and research teams to improve AI outputs This is a part-time, fully remote opportunity paying $80-$105/hr. Apply now: https://lnkd.in/ebi7XX4B ⚡ Know someone who might be a great fit? Refer them to micro1 and earn $500.

This Tuesday at 11:00 AM PT, micro1 is hosting a conversation on The Human Foundation of AI in Healthcare on the micro1 Forum. Moderated by Mark Esposito, PhD (Chief Economist at micro1) this session brings together Paola Rodríguez - MD, Eng, MSc. (Director of Medical Research at micro1), Sam Hashemi (VP at Prenuvo), and David Q. Sun (VP of AI/ML at Eight Sleep) to explore how human intelligence shapes the future of healthcare AI. As AI systems evolve from static tools to more agentic, decision-supporting systems, one thing is clear: the future of healthcare won’t be defined by automation alone, but by how effectively humans and machines work together. This session is based on their recent co-authored research paper: https://lnkd.in/ee8mbfMt Register for the live event to hear from the authors themselves: https://lnkd.in/eTg4T8fd

Human-first AI ❤️ Last Friday we hosted an after office in Buenos Aires with 100+ experts from the micro1 community. A great chance to step away from the screen, connect in person, and spend time with the incredible people contributing to AI training projects across our platform. Thanks to everyone who joined and made it such a great evening!

Tune in with Andrew Maas & Box 👇