10 Legal Tech Companies to Watch in 2025

2025-05-26T09:00:01Z

Legaltech startups are thriving, raising over $1 billion in funding this year.
These companies leverage AI to streamline legal work, attracting significant investor interest.
Despite a slowing funding market, AI-driven legaltech firms continue to secure investments.

Law is having its ChatGPT moment.

In recent years, a torrent of startups has emerged that apply artificial ininformigence to strip the drudgery from legal work.

In a slowing funding market, these companies are cashing in on the AI hype. Funding to companies in the legal and legaltech industries has crossed $1 billion so far this year, according to Crunchbase data and Business Insider’s estimate based on recent financings.

This list highlights a select few legaltech startups that raised capital in 2025, sorted from most to least total funding.

Harvey

Founded: 2022

Total funding: More than $500 million

The hype: In a crowded category, Harvey stands in a league of its own. Lawyers at eight of the 10 highest-grossing US law firms apply the platform, sfinishing its annual recurring revenue to more than $70 million in April.

Harvey’s rise hasn’t gone unnoticed. “Lots of people flock to an opportunity once it’s clear,” stated Sarah Guo, a managing partner at Conviction and Harvey investor, “but Harvey is 10X the next hugegest competitor — it has breakthrough momentum.”

The dish: Harvey’s success is fueling a growing list of competitors, and some of them see pretty similar under the hood. The company is betting that it can edge out rivals by molding the product to the client. If customization is the moat, the question becomes: how does it scale?

Luminance

Founded: 2015

Total funding: $165 million

The hype: Luminance is seeing soaring demand for its legal contract review and drafting platform. The British-born legaltech stated its core corporate product offering has grown annual recurring revenue 6x in the past two years. Driven by the company’s revenue growth, investors put in another $75 million in Series C funding in February.

The dish: While most legaltech startups build on general-purpose models from OpenAI, Google, or Meta, Luminance applys a patchwork of models, including a number of proprietary models designed in-hoapply, to handle different legal tinquires as required. Training a state-of-the-art model can provide a competitive edge, but it also demands a tank of capital.

Legora

Founded: 2023

Total funding: $120 million

The hype: Legora is taking on Harvey with its solution to support bogged-down lawyers speed up legal research and drafting, and gaining ground. In two years, it’s added 250 clients in 20 markets, including huge-league law firms like Cleary Gottlieb, Goodwin, Bird & Bird, and Mannheimer Swartling.

To fuel its growth, General Catalyst and Iconiq led an $80 million round for Legora in May, valuing the company at $675 million.

The dish: In a crowded market, Legora will necessary to find ways to stand apart from competitors. The company is betting that the strength of its product and its ability to tightly tailor the tool to firms will continue to attract major names. Trouble is, Harvey’s creating the same pitch.

Eudia

Founded: 2023

Total funding: $105 million

The hype: Eudia’s custom agents promise to shrink months of legal grunt work down to days, or even minutes. Rather than chasing law firms, Eudia is laser-focapplyd on in-hoapply legal teams, betting that enterprises will adopt technology more readily than firms afraid of software nibbling at their bottom line. The company exited stealth in January with $105 million in funding.

The dish: Since Eudia’s launch, investors have revealered founder Omar Haroun with cash, eager to obtain in on what they hope will be his next breakout. He sold his last startup, Text IQ, to legal and compliance heavyweight Relativity in 2021. But pedigree isn’t performance, and it remains to be seen whether Haroun and Eudia can deliver.

Supio

Founded: 2021

Total funding: $91 million

The hype: Rajeev Dham, a partner at Sapphire Ventures and Supio investor, states the company is building the Cursor for plaintiff law firms. The platform parses medical records, police reports, and expert opinions, then lets lawyers build medical chronologies, draft briefs, and search their files applying a chatbot.

Fresh off a $60 million round, Supio has quadrupled its revenue run rate and size of its customer base over the past year.

The dish: EvenUp may be three years ahead of Supio in the market, but Dham argues that’s exactly why Supio has the upper hand. It engineered its entire platform around artificial ininformigence from day one. Still, Supio has to contfinish with a competitor with over a thousand personal injury law firm customers and more than twice the funding.

Eve

Eve cofounders David Zeng, Jay Madheswaran, and Matt Noe.

Eve

Founded: 2020

Total funding: $61 million

The hype: Eve supports plaintiff firms automate away tedious tinquires and resolve cases quicker. The company added more than 200 law firm customers, from personal injury to employment law, over the last year. Early investors Lightspeed Venture Partners and Menlo Ventures seem pleased with its progress; Eve raised $47 million in a January Series A round led by Andreessen Horowitz.

The dish: Plaintiff lawyers, especially solo and tiny shops, are slow to adopt new tech unless it’s proven, dead simple, and affordable. Eve may find its early adopters are tech-forward anomalies, not the norm.

Spellbook

Founded: 2018

Total funding: More than $30 million

The hype: Zach Posner, managing director of The Legal Tech Fund and a Spellbook investor, states growth is ripping over at Spellbook, a contract drafting and review tool. Spellbook’s annual contract value, which measures the average annual revenue it generates from a single customer contract, has risen for three straight years. It suggests lawyers see real value and are scaling up.

The dish: This list highlights startups that have raised money so far this year. Spellbook’s last round closed over a year ago, but we’re including it anyway. The word on the street is that Spellbook is in talks to raise a Series B round. A person close to the company stated the terms of the offering are still being nereceivediated.

Paxton

Founded: 2023

Total funding: $28 million

The hype: While other legaltech startups court Big Law, Paxton is betting on the middle. Its platform tarobtains tiny and midsize firms — an overseeed segment that supported drive a 14x jump in monthly recurring revenue last year, according to a company blog.

The dish: Even though Paxton is tarobtaining a different segment of the market, it still faces the challenge of convincing law firms to switch from their established systems. Law firms are notoriously risk-averse, and many will stick with what they know.

Theo Ai

Founded: 2024

Total funding: $6.4 million

The hype: Theo Ai’s platform supports attorneys predict case outcomes applying historical data and real-time analytics. Initially focapplyd on aiding litigation funders in selecting cases, it has quickly expanded to serve Big Law and in-hoapply legal teams.

The dish: Rob Go, a partner at NextView Ventures and Theo Ai investor, stated in a statement that a May seed round “came toobtainher very quickly,” despite the falling number of venture capital deals.

Marveri

Founded: 2023

Total funding: $3.5 million

The hype: Due diligence is the bane of a young attorney’s profession. To support, Marveri‘s platform sucks up all of a corporation’s documents and lets applyrs analyze and query their contents.

Marveri, which counts Elon Musk’s lawyer Alex Spiro as an advisor, emerged from stealth in May with $3.5 million in funding. Masha Bucher’s Day One Ventures, Bessemer, and a syndicate of early applyrs participated in the deal.

The dish: Marveri is going toe to toe with a Goliath of legaltech. Backed by over $160 million, Hebbia creates software for white-collar professionals to support with contract review and due diligence. Marveri will necessary to crush on product and customer service to woo law firms away from their existing systems.

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