Pandektes Raises €13.5M to Build Legal Data for AI Agents

Copenhagen-based legal technology company Pandektes has raised 13.5 million euros in a Series A funding round, as investors bet that the most valuable real estate in legal AI is not the chatbot interface but the structured data layer beneath it. The round was led by Alstin Capital, with participation from PROfounders, Scale Capital, and existing investors, according to EU-Startups, which first reported the financing on October 5, 2026.

The financing follows a 2.9 million euro Seed round announced last year and brings the company's total disclosed funding to 16.4 million euros since its founding in 2022. Pandektes says it will use the fresh capital to expand across Europe and North America, grow its engineering and product teams, and extend its legal data infrastructure into additional jurisdictions.

The company was founded by Casper Laursen and Soren Brokaer with a deceptively unglamorous mission: continuously collect, structure, and connect legal information spanning legislation, court decisions, administrative rulings, and preparatory works across thousands of repositories and jurisdictions. More than 500 law firms, enterprises, and public institutions in Denmark, Germany, and Switzerland now use the platform, according to Startup.eu.

A data layer beneath legal AI

Pandektes is positioning itself one level below the legal AI applications that have crowded into the market over the past two years. Instead of building yet another chat interface for lawyers, the company is opening its infrastructure through an API so that other legal software vendors and AI agents can consume its structured legal data directly.

The strategy, if it works, would move Pandektes from being one more legal research tool to becoming infrastructure underneath many of them. As competition among legal assistants shifts toward interface design, workflow, and model quality, the supplier of reliable, cross-border legal data could occupy a more durable position, according to Tech Startups coverage of the round.

That framing caught the attention of its lead investor. Andreas Schenk, managing partner at Alstin Capital, said in comments reported by Vestbee that the firm rarely sees a market where so many end-users want to switch their core system but historically could not, and that Pandektes is building the modern data infrastructure for the entire European legal landscape that makes switching possible. Co-founder and CEO Casper Laursen said in remarks carried by EU-Startups that collecting and making sense of legal information at scale was previously infeasible, and that AI has fundamentally changed what legal research can be.

Why AI agents need structured legal data

The timing of the round lines up with a broader shift in how AI is being deployed inside regulated industries. AI agents that act inside enterprise systems — drafting documents, running compliance checks, or attacking security infrastructure — depend heavily on the quality and structure of the data they consume. In legal work, a missing or misinterpreted source carries real consequences, which makes verified, machine-readable legal data a prerequisite rather than a nice-to-have.

This is the same pattern playing out across the AI agent ecosystem this month: venture funding is flowing into deployment infrastructure and proprietary context rather than into models themselves. OneByZero, a Singapore-based startup building governed AI agents for enterprise systems, raised 20 million dollars in a Series A led by Jungle Ventures in the same week, according to Tech Startups. I recently covered how IBM's self-hosted coding agents are moving behind the corporate firewall — another sign that the industry's attention has shifted from what models can say to what agents can reliably do.

Pandektes reports sixfold revenue growth over the past year and says roughly two-thirds of organizations that trial the product become paying customers, according to Startbase. Those figures come from the company itself and have not been independently audited, but the trial-to-paid conversion rate, if accurate, suggests the pain point around fragmented legal data is real.

The road ahead

The competitive landscape is unforgiving. Pandektes is taking on entrenched incumbents including LexisNexis, Westlaw, Beck, and Karnov, providers that have built near-monopoly positions on decades of accumulated databases and editorial teams. The company's argument is that advances in AI and computing have changed the economics of collecting, tracking, classifying, and connecting legal information across jurisdictions.

Whether that argument holds depends on the coverage, timeliness, and quality of the data across every legal system the company expands into — a harder problem than raising the capital to attempt it. For now, the 13.5 million euro round gives Pandektes room to scale precisely that infrastructure while opening its API to the agent builders who need it. More developments like this are worth following on the AI News beat, where infrastructure plays are increasingly crowding out model launches.