Harvey confirms $11B valuation: Sequoia triples down
Investors like Sequoia, Andreessen Horowitz, Kleiner Perkins, and Elad Gil can't get enough of AI legal tech startup Harvey.
In Brief
Posted:
8:27 AM PDT · March 25, 2026
Image Credits:Harvey
One of the blockbuster hits of the AI age is, without a doubt, legal tech startup Harvey. On Wednesday, the company confirmed that it had closed a new raise at an $11 billion valuation, after reports circulated last month that it was working on another monster round.
The company confirmed it inhaled $200 million from this round, co-led by returning investors Singapore’s GIC and Sequoia. Existing investors Andreessen Horowitz, Coatue, Conviction Partners, Elad Gil, Evantic, and Kleiner Perkins also participated.
With this new funding, the company has raised more than $1 billion in total, and its valuation jumped over 3.5x in a year. Harvey was valued at $8 billion from a round announced in December, led by Andreessen Horowitz. Before that, it was valued at $5 billion from a round led by Kleiner Perkins and Coatue, announced in June, and was at $3 billion from a Sequoia-led raise announced in February 2025.
Sequoia has now co-led three of its rounds since its Series A, a move even Sequoia partner Pat Grady acknowledged was an unusually large show of faith for the VC firm, Grady said in the press release. A few months ago, founder and CEO Winston Weinberg described to TechCrunch’s EIC what a wild ride it’s been.
Topics
Subscribe for the industry’s biggest tech news
Latest in Startups
TechCrunch Funding
https://techcrunch.com/2026/03/25/harvey-confirms-11b-valuation-sequoia-triples-down/Sign in to highlight and annotate this article
Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
startupvaluationlegal
The AI-Powered Agency: A Developer Playbook for Selling AI Services in 2026
A freelance brand designer I follow on X shared her numbers last month. In 2024, she was serving three to four clients at a time, billing around $150K per year. In 2025, she added AI to her workflow, not as a gimmick but as actual production infrastructure. She now serves fifteen to twenty concurrent clients, her annual revenue hit $720K, and she works fewer hours than before. She did not build a SaaS product. She did not raise money. She did not hire a team. She just got very good at using AI tools to deliver the same quality of work in a fraction of the time, and charged based on the value of the output rather than the hours it took. This is the model Y Combinator highlighted in their Spring 2026 Request for Startups. Their advice was blunt: instead of selling access to an AI tool for $5
CDT Europe’s Response to the European Parliament Rejection of the Chat Control 1.0 s Extension
On Thursday, 26 March, the European Parliament voted not to extend the temporary derogation from the ePrivacy Directive, also referred to as Chat Control 1.0 (EU 2021/1232), thereby permitting the current legal basis to expire on 4 April 2026. Despite last-minute procedural efforts to extend the derogation, we welcome the expiration which will end the [ ] The post CDT Europe’s Response to the European Parliament Rejection of the Chat Control 1.0 s Extension appeared first on Center for Democracy and Technology .
Email obfuscation: What works in 2026?!
The proliferation of automated web scraping and data harvesting mechanisms presents an enduring challenge for individuals and organizations seeking to display contact information, specifically email addresses, on public web pages without succumbing to unsolicited communications. For decades, the effort to obfuscate email addresses has been an arms race between website owners and spammers, with the latter continually refining their automated agents. As of 2026, the landscape of web scraping has profoundly evolved, necessitating a re-evaluation of established obfuscation techniques. The prevalence of advanced browser automation frameworks, machine learning (ML) models capable of semantic understanding, and even large language models (LLMs) trained on vast datasets of human text and code, ren
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Products
AI Agent Tools for Small Business Owners: A Practical Guide
The AI landscape is overwhelming. Hundreds of tools, new launches every week, and most of them are designed for enterprise teams with dedicated engineering staff. If you're a small business owner — running a service company, an e-commerce shop, or a solo consulting practice — you need tools that actually work without a full-time developer to maintain them. Here's a practical breakdown of the AI agent tools that matter most for small business operations in 2026, focused on what's real and useful today. What AI Agents Actually Do for Small Businesses Forget the hype about artificial general intelligence. For small businesses, AI agents solve three specific problems: They monitor things you can't watch 24/7 — revenue, inventory, customer messages, system health They handle repetitive tasks on
Your AI Chatbot Isn't Stupid. It Just Has No Memory. Here's How We Fixed That.
I had a moment in a session a few weeks ago that I haven't stopped thinking about. Someone asked an AI chatbot what their company's refund policy was. The bot answered confidently, fluently, with zero hesitation. It was also completely wrong. It had invented a policy — 14 days, original packaging, contact support@ — from thin air, because it had never actually seen the company's documentation. It wasn't broken. It was doing exactly what it was designed to do: predict the most plausible-sounding next word. And "most plausible" and "accurate" are not the same thing. That's the dirty secret of LLMs fresh out of training. They're brilliant at sounding right. They're not inherently good at being right — especially about things that aren't in their training data. The fix has a name: RAG. Retriev
Do Not Stick Out: The Dynamics of the ECH Rollout
When you re trying to hide, the last thing you want is to draw attention to yourself. That was the philosophy behind the design of Encrypted Client Hello (ECH), a new technology that helps close a 20-year-old privacy leak in the Internet’s design [1]. ECH encrypts the name of the website you’re visiting, making connections to [ ] The post Do Not Stick Out: The Dynamics of the ECH Rollout appeared first on Center for Democracy and Technology .
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!