Katie Burke
14.2K posts
@katieburkie
COO @Harvey. Fast talker, slow runner.
Q2 recap for @harvey +$100M NNARR 53% DAU/MAU Key hires (including Q1) Anique (CPO) - prev VP of Product at Rippling Rachel (CMO) - prev CMO at Notion Brooks (CISO) - prev CISO at Roblox Keith (CSO) - prev CPO at Google Product Agent unification - cloud agents can use all Harvey product surfaces Command center (EA) - monitor adoption and ROI by use case Contract intelligence (EA) - agentic contracting platform for enterprises Eng Migration to cloud agent infrastructure Integrating open source inference providers Scaling document processing (54TB / week) AI Legal Agent Bench Open source post training Published multiple research directions with partners We invested heavily in cloud agent infrastructure at the end of last year and in Q1. In Q2 we also unified many of our product surfaces (collapsed as @winstonweinberg says) by making them all tools accessible by our cloud agents. Prior to this, there were a lot of capabilities in Harvey that were often only discovered by power users. As cloud agents get better and our product becomes more connected we are seeing users discover more of the product by learning from their agents (see plot of product surfaces per user).
Narrative violation: A new study of 21,559 firms in the U.S. finds that “companies that adopt AI tend to grow faster following adoption”. “Firms making the largest AI investments grow employment by roughly 10% following adoption, while low-intensity adopters see no statistically significant change.” “Entry-level headcount rises 12% for high-intensity adopters.” “Gains emerge gradually and are broad across roles, including engineering, sales, administration, and customer service.” “The results counter predictions that AI adoption will lead to broad job loss.” The study is based on observed AI spending from Ramp card and bill pay data linked to Revelio Labs workforce records.
Congrats to Brian Burke on his induction to the 2026 Hockey Hall of Fame class!
NEW: Harvey Co-Founder + Head of Applied Research on the *Token Reckoning* Valued at $11B, @harvey is on a mission to win the entire legal category, competing head-on against the trillion-dollar labs Coding agents hit Karpathy's "agents work now" inflection in late 2025. Harvey Co-Founder @gabepereyra (fmr Google Brain, DeepMind & Meta) argues legal is hitting its version of that curve right now. With both Gabe + Head of Applied Research @nikogrupen, we cover: - Open-sourcing LAB (legal agent benchmark): 1,200+ tasks across 24 practice areas, 75,000+ rubric criteria - Who's leading the leaderboard - Harvey is the largest embeddings consumer for some of the labs - Why every law firm has to be multi-model: conflict risk - The billable hour is coming back, this time for AI tokens FYI: Harvey Labs is the internal research group pushing the frontier of legal AI. Run by Niko (fmr multi-agent RL at Google Brain) & @ItsJulioPereyra (fmr clerk + Big Law attorney), it partners with the labs, research community, & academia to bring frontier agent research into Harvey. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Gabe Pereyra (Co-Founder) & Niko Grupen (Head of Applied Research) (00:50) Inside Harvey's legal agent Benchmark (05:10) What happens after Benchmarking? (06:37) Why Harvey open sourced its research (09:21) Training models without client data (10:32) Google Brain vs. DeepMind (12:34) From Researcher to Founder (15:15) The Rise of the Inference Layer (18:38) The Agentic Shift (21:16) Harvey's 13 trillion tokens (23:48) AI's Biggest cost misconception (28:37) How Top AI founders learn (31:52) Learnings from Jensen Huang (34:14) How Harvey finds talent (35:41) Niko on Harvey's breakthroughs (36:38) Building a legal dataset from scratch (38:32) How to read AI Benchmarks (39:51) Niko's research playbook (40:51) The Opportunity beyond Benchmarks (41:45) Why Agent Harnesses matter (43:04) The Rise of Organizational AI
NEW: Harvey Co-Founder + Head of Applied Research on the *Token Reckoning* Valued at $11B, @harvey is on a mission to win the entire legal category, competing head-on against the trillion-dollar labs Coding agents hit Karpathy's "agents work now" inflection in late 2025. Harvey Co-Founder @gabepereyra (fmr Google Brain, DeepMind & Meta) argues legal is hitting its version of that curve right now. With both Gabe + Head of Applied Research @nikogrupen, we cover: - Open-sourcing LAB (legal agent benchmark): 1,200+ tasks across 24 practice areas, 75,000+ rubric criteria - Who's leading the leaderboard - Harvey is the largest embeddings consumer for some of the labs - Why every law firm has to be multi-model: conflict risk - The billable hour is coming back, this time for AI tokens FYI: Harvey Labs is the internal research group pushing the frontier of legal AI. Run by Niko (fmr multi-agent RL at Google Brain) & @ItsJulioPereyra (fmr clerk + Big Law attorney), it partners with the labs, research community, & academia to bring frontier agent research into Harvey. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Gabe Pereyra (Co-Founder) & Niko Grupen (Head of Applied Research) (00:50) Inside Harvey's legal agent Benchmark (05:10) What happens after Benchmarking? (06:37) Why Harvey open sourced its research (09:21) Training models without client data (10:32) Google Brain vs. DeepMind (12:34) From Researcher to Founder (15:15) The Rise of the Inference Layer (18:38) The Agentic Shift (21:16) Harvey's 13 trillion tokens (23:48) AI's Biggest cost misconception (28:37) How Top AI founders learn (31:52) Learnings from Jensen Huang (34:14) How Harvey finds talent (35:41) Niko on Harvey's breakthroughs (36:38) Building a legal dataset from scratch (38:32) How to read AI Benchmarks (39:51) Niko's research playbook (40:51) The Opportunity beyond Benchmarks (41:45) Why Agent Harnesses matter (43:04) The Rise of Organizational AI
NEW: Inside $11B @harvey HQ w/ CEO Winston Weinberg Exclusive tour of their gorgeous SF office & an update on their scale.. TLDR: they're ripping. At 4 years old, Harvey has reached: - Passed $300M ARR this month (3x growth from $100M last August) - Nearly 1K employees, 12 global offices - ~2,000 customers - DAU/MAU up from 36% to 52% this year - 42% of revenue from in-house corporates - Token usage: 1T in January to a projected 13T this month The $11 billion AI platform now used by 2/3 of the AmLaw 100 & 500+ in-house legal teams including HSBC, Bridgewater, Carvana, Blue Owl "I think every single company is going to sell intelligence." - @winstonweinberg Co-Founder @gabepereyra + Head of Applied Research @nikogrupen coming on next 👀 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Winston Weinberg, Co-Founder & CEO at Harvey (00:45) Inside Harvey HQ (03:17) Harvey by the numbers (04:11) How Harvey expands globally (05:16) Why Harvey employs 200+ lawyers (06:30) The philosophy behind Harvey's office (07:35) The loudest lunch culture in tech (09:03) Winston's favorite room (10:04) Eight Airbnbs before a real office (12:58) Inside a $300M ARR company (14:20) Tripling revenue in under a year (15:35) What $1B+ unlocks (17:36) Building an AI native company (21:10) Convincing lawyers to join tech (22:14) The biggest adjustment for lawyers in tech (23:26) Build vs buy (26:59) What SaaS got away with that AI can't (28:39) Financing 13 trillion tokens (30:05) Why the labs can't just copy Harvey (31:18) Competing with OpenAI & Anthropic (32:03) Will the labs start acquiring? (32:50) Does every task need frontier intelligence? (34:23) Why legal benchmarks are broken (35:30) Ordering the same meal 467 times
NEW: Inside $11B @harvey HQ w/ CEO Winston Weinberg Exclusive tour of their gorgeous SF office & an update on their scale.. TLDR: they're ripping. At 4 years old, Harvey has reached: - Passed $300M ARR this month (3x growth from $100M last August) - Nearly 1K employees, 12 global offices - ~2,000 customers - DAU/MAU up from 36% to 52% this year - 42% of revenue from in-house corporates - Token usage: 1T in January to a projected 13T this month The $11 billion AI platform now used by 2/3 of the AmLaw 100 & 500+ in-house legal teams including HSBC, Bridgewater, Carvana, Blue Owl "I think every single company is going to sell intelligence." - @winstonweinberg Co-Founder @gabepereyra + Head of Applied Research @nikogrupen coming on next 👀 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Winston Weinberg, Co-Founder & CEO at Harvey (00:45) Inside Harvey HQ (03:17) Harvey by the numbers (04:11) How Harvey expands globally (05:16) Why Harvey employs 200+ lawyers (06:30) The philosophy behind Harvey's office (07:35) The loudest lunch culture in tech (09:03) Winston's favorite room (10:04) Eight Airbnbs before a real office (12:58) Inside a $300M ARR company (14:20) Tripling revenue in under a year (15:35) What $1B+ unlocks (17:36) Building an AI native company (21:10) Convincing lawyers to join tech (22:14) The biggest adjustment for lawyers in tech (23:26) Build vs buy (26:59) What SaaS got away with that AI can't (28:39) Financing 13 trillion tokens (30:05) Why the labs can't just copy Harvey (31:18) Competing with OpenAI & Anthropic (32:03) Will the labs start acquiring? (32:50) Does every task need frontier intelligence? (34:23) Why legal benchmarks are broken (35:30) Ordering the same meal 467 times
We’re excited to share that we just signed an agreement for @salesforce to acquire @fin_ai for ~$3.6B. The transaction is expected to close in the fourth quarter of Salesforce’s fiscal year 2027. Fin started as Intercom 15 years ago. We changed our name to cap our transformation just weeks ago. We were a darling of the SaaS era and invented so many of the patterns you see in software today. Nearly four years ago, in need of a reboot, we jumped on weeks-old modern LLMs to create and define the category we know as Customer Agents today. Salesforce invented modern software and SaaS. And @benioff is like the final boss of tech founder CEOs. In seat for 27 years, he’s one of the last of his era. Still pushing, pivoting, placing big bets. It’s a privilege for @destraynor and I to get to partner with him and join forces with Salesforce upon close at this most fascinating time. And will be very fun to get their help bringing Fin to magnitudes more consumers. To our customers: Over the past few years we’ve been shipping intensely. Including recently our groundbreaking model, Apex, and our paradigm-defining internal agent, Operator. With the resources of Salesforce this will only accelerate. And yet little will practically change. I’ll still be CEO, Des will still be running R&D, we’ll both still be committed to continuing to lead this category. Thank you very sincerely and deeply for your belief in us. To all of our friends, our families, and our employees, past and present: While this is not the end, it is a major, pivotal, special, and emotional moment for us. From the bottom of our hearts, thank you. For everything. To my cofounders, my exec team: Look what we built. Four young lads with a dream and nothing to lose. And a home grown exec team who pulled off the greatest and arguably only late stage software company pivot to AI, and invented one of the most important categories in AI. Thank you for sticking through all of this with me. And now, time to get back to work. See you at our next product launch in a couple weeks. (:
Now available in Harvey: Fable 5. Fable 5 scored 13.3% on our Legal Agent Benchmark (LAB), a new high for Anthropic models. Fable excels at drafting, redline review, and work over large multi-document matters. This model is available in Harvey on an opt-in basis.
PSG RETAIN THE CHAMPIONS LEAGUE 🏆🏆 They beat Arsenal on penalties to remain champions of Europe 👏
