Legora said it will use the Series D funding for further expansion across the US, with plans for new offices in Houston and Chicago.

Swedish legal AI start-up Legora has announced a Series D raise of $550m, bringing the company’s valuation to $5.55bn.

Legora – formerly known as Leya – has developed a collaborative AI platform for legal work, deploying the technology to support lawyers in research, review and drafting across complex matters.

“It’s a product for boundless collaboration between lawyer ingenuity and machine intelligence,” 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 across more than 50 markets. Legora’s customers 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, as well as 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 start-up’s first anniversary in the US, having opened its first US-based office in New York in March 2025. It has since opened another office in Denver, Colorado.

Legora said it will use the Series D funding for further expansion across the US, with plans for new offices in Houston, Texas and Chicago, Illinois – “two of the country’s most significant legal and commercial hubs” according to the start-up.

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.

“Over the past year, the pace of adoption in the US has exceeded our expectations, as leading firms and in-house teams move decisively from experimentation to embedding AI across their organisations,” said Legora co-founder and CEO Max Junestrand.

“This funding enables us to accelerate our US growth – 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 workflows.”

Legora was founded in 2023 by Junestrand, company president Sigge Labor and August Erséus, who has since parted ways with the start-up.

Legora said it uses a “deeply collaborative” approach to developing and deploying AI.

The company works side by side with clients from the earliest stages of exploration through to full-scale roll-out and ongoing optimisation, “positioning itself as a long-term partner” as firms and in-house teams embed AI into mission-critical workflows.

Over the past year, Legora has grown from 40 to 400 team members across Stockholm, London, New York, Denver, Sydney and Bengaluru.

“Max and team are relentlessly focused on building the AI operating system for the legal industry,” said Arun Mathew, partner at Accel. “As in other service industries, work is quickly shifting to end-to-end workflows run by agents, and more of that work is happening on Legora. We’re excited to partner with Legora as they enter this next stage of growth.”

Legal AI growth

The legal AI market has seen considerable growth and attention in recent years.

In 2023, Harvey, a start-up developing AI for law firms, raised $21m in a Series A funding round led by Sequoia and including participation from OpenAI.

At the start of this year, Harvey announced its plans to open a Dublin office and create 20 jobs in the city.

Meanwhile, last November, Irish legal-tech TrialView secured $4.1m to accelerate expansion into new markets, including the US, Singapore and Australia. TrialView is an AI-powered litigation platform designed to streamline case preparation, management and presentation.

Last month, Anthropic caused a stir in the markets – 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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