Pomegra
Copenhagen-based Pandektes closed a €13.5M Series A led by Alstin Capital to build a structured legal data layer that rivals LexisNexis and Westlaw and feeds legal AI tools.
Key Takeaways
- Pandektes raised a €13.5M Series A on October 5, 2026, led by Munich-based Alstin Capital.
- Revenue grew sixfold in a year, and the company reports more than 500 customers.
- Funds go to expansion in Europe and North America and to a developer API. Valuation is undisclosed.
Lead
Pandektes, a Copenhagen legal research startup, announced a €13.5M Series A on October 5, 2026. Alstin Capital, a Munich-based early-stage investor focused on B2B software, led the round. PROfounders Capital, Scale Capital and existing backers, including People Ventures, also took part.
The company aggregates legislation, court rulings and administrative decisions, then structures and links them so lawyers, corporations and public bodies can search them. It plans to license the same data through an API to outside developers and legal AI companies. Pandektes did not disclose the valuation.
What Does Pandektes Actually Sell?
Pandektes sells a research platform and, increasingly, the data underneath it. The system continuously collects legal material published by courts and authorities, converts unstructured documents into structured data, and connects it to a customer's own files. It currently covers Denmark, Germany and Switzerland.
That second layer is the pitch to investors. Generative AI tools for lawyers are only as reliable as the sources they retrieve from, and in much of Europe those sources are fragmented across national databases and publishers. Pandektes wants to be the pipe that supplies clean, current primary law to whoever builds on top.
How Strong Are the Traction Numbers?
The reported figures are strong but come from the company. Revenue rose six times over the past year, and the customer count passed 500 within about two years of launch. Roughly two-thirds of organizations that trial the platform convert to paying accounts, a high rate for enterprise software.
The company says many customers cancel older subscriptions after switching. Revenue in absolute terms was not disclosed, so a sixfold increase could describe a small base. Customers include the Danish energy operator Energinet.
Why Is a Seed-to-Series A Jump Happening So Fast?
The round arrives about 20 months after a seed round of roughly €2.9M in February 2025. That pace implies investors see the data asset, not the search interface, as the durable part of the business. A search front end is easy to copy. A maintained, multi-jurisdiction corpus of law that updates daily takes years of ingestion work.
It also reflects a change in the incumbents' position. Pandektes' CEO, Casper Laursen, argues that building a serious challenger was long considered impossible. The company's own view is that AI search gave newcomers an opening, since established publishers needed one to two years to ship comparable features. That lead may narrow as incumbents catch up.
Who Is Pandektes Up Against?
The market is dominated by LexisNexis, Westlaw, Beck and Karnov Group. Karnov alone reports more than 400,000 users and about 1,200 employees across six countries. These firms hold decades of editorial content, commentary and customer relationships, and law firms rarely switch research tools lightly.
Pandektes' counter is price and architecture. By focusing on primary sources and an API, it can serve both end users and the legal AI startups that otherwise have to build their own ingestion pipelines. Those startups are also a possible customer base, and they may become competitors if they decide to own their data.
What Will the Money Fund?
The capital goes to three areas: expansion into more European markets and North America, hiring across engineering and data teams, and a developer-facing API. More than 100 organizations were already on the API waitlist when the round was announced.
North America is the harder test. US law is dominated by Westlaw and Lexis, and its case law is far larger and more heavily annotated than any single European jurisdiction. Entering it with a Danish-built data pipeline is a bet that structured primary law, rather than editorial layers, is what AI systems need most.
What Comes Next for Legal Data Infrastructure?
Execution risk sits in coverage and accuracy. Each new country requires source agreements or reliable scraping, plus language-specific parsing, and legal users tolerate few errors. An API business adds a further question: whether developers will pay for data they might eventually obtain from public sources.
If the API gains traction, Pandektes could become a supplier to the legal AI sector rather than only a competitor to publishers. If it stalls, the company remains a fast-growing research tool in a handful of markets.
Outlook
Pandektes enters its next phase with €13.5M, a growing customer base and a thesis that legal AI needs a neutral data layer. The sixfold revenue growth and trial conversion rate support the product case, though absolute revenue and valuation remain undisclosed. The next 12 months should show whether the API draws paying developers and whether the model travels beyond Denmark, Germany and Switzerland.
