Legal AI startup Legora reached a valuation of $5.55bn in a recent raise

Legora said it will use the Series D funding to expand further across the US, with plans for new offices in Houston and Chicago.
Swedish legal AI startup Legora has announced a $550m Series D raise, valuing the company at $5.55bn.
Legora – formerly known as Leya – developed an interactive AI platform for the legal profession, using the technology to support lawyers in research, review and writing on complex issues.
“It is the product of a limitless collaboration between the genius of a lawyer and the intelligence of a machine,” according to a statement on Legora’s website.
According to Legora, its platform is used by “tens of thousands” of legal professionals at more than 800 law firms and in-house legal teams in more than 50 markets. Legora’s clients include Bird & Bird, Cleary Gottlieb, White & Case, Linklaters, Deloitte, Dentons and Goodwin.
The Series D round was led by Accel, with participation from existing investors Benchmark, Bessemer Venture Partners, General Catalyst, ICONIQ, Redpoint Ventures and Y Combinator, and new investors including Alkeon Capital, Bain Capital, Firstmark Capital, Menlo Ventures, Salesforce Ventures, Sands Capital and Starwood Capital.
According to Legora, the funding round coincides with the first anniversary of its establishment in the US, as its first US-based office opened in New York in March 2025. It has already opened another office in Denver, Colorado.
Legora said it will use the Series D funding to expand across the US, with plans for new offices in Houston, Texas and Chicago, Illinois – “two of the country’s most important legal and commercial centers” according to the startup.
The company also expects to open “additional local hubs” and grow to more than 300 employees across its US offices by the end of 2026.
“In the past year, the pace of adoption in the US has exceeded our expectations, as leading firms and internal teams are actively moving from exploration to embedding AI across their organizations,” said Legora founder and CEO Max Junestrand. “This funding enables us to accelerate our growth in the US – investing in talent and infrastructure, strengthening our presence in key markets and ensuring we can support customers on the ground as they integrate AI into their core operations.”
Legora was founded in 2023 by Junestrand, company president Sigge Labor and August Erséus, who has since parted ways with the startup.
Legora said it uses a “deeply collaborative” approach to developing and implementing AI.
The company works in partnership with clients from the early stages of testing through to full rollout and continuous optimization, “positioning itself as a long-term partner” as firms and internal teams embed AI into critical workflows.
In the past year, Legora has grown from 40 team members to 400 across Stockholm, London, New York, Denver, Sydney and Bengaluru.
“Max and the team are relentlessly focused on building an AI application for the legal industry,” said Arun Mathew, partner at Accel. “Like other service industries, work is shifting to end-to-end agent-driven workflows, and some of that work is happening at Legora. We’re excited to partner with Legora as they enter this next phase of growth.”
The rise of formal AI
The legal AI market has seen a lot of growth and attention in recent years.
In 2023, Harvey, who pioneered AI for law firms, raised $21 million in a Series A funding round led by Sequoia and including participation from OpenAI.
Earlier this year, Harvey announced plans to open a Dublin office and create 20 jobs in the city.
Meanwhile, last November, Irish law firm TrialView received $4.1m to accelerate expansion into new markets, including the US, Singapore and Australia. TrialView is an AI-powered litigation platform designed to simplify trial preparation, management and presentation.
Last month, Anthropic caused a stir in the market – including in the legal sector – when it released new plugins for its Cowork model designed to automate tasks across legal, sales, marketing and data analysis.
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