EnforceShield Raises €1.7M To Automate IP Enforcement For Enterprises

EnforceShield, a Vilnius based legaltech startup, has raised 1.7 million euros in seed funding to scale a platform that handles intellectual property enforcement on behalf of enterprise brands from detection through to takedown, without routing most of that work through a human legal team first.

The round was led by Vendep Capital, with participation from FIRSTPICK VC. EnforceShield was founded in 2024 by Rytis Rudzinskas, a practising attorney with years of experience running digital IP enforcement operations before starting the company. That operational background shapes how the platform is built, with Rudzinskas describing the product as an attempt to encode the legal workflows he spent years running manually into a system capable of executing them autonomously.

The problem EnforceShield is built around is one of scale mismatch. Online IP abuse, including counterfeit product listings, unauthorised resellers, fake storefronts, cloned websites, impersonation accounts and phishing pages, has grown sharply as the tools available to bad actors have become more capable, including generative AI systems that make it easier to produce convincing fake listings and sites at volume. Rudzinskas has argued that traditional enforcement, built around adding more lawyers and analysts to review and act on each case, scales linearly at best, while the abuse itself scales exponentially, an imbalance that leaves enterprise brands permanently behind regardless of how much headcount they add to the problem.

EnforceShield's answer is a platform that covers the full enforcement workflow in one system, rather than stopping at detection and leaving the harder work of validation, takedown execution, monitoring and escalation to a separate team or a different vendor. Its AI agents are built to make case level decisions using jurisdiction specific legal logic, allowing the system to assess whether a given listing or site constitutes infringement, initiate the appropriate enforcement action, and continue monitoring for repeat violations, with human attorneys involved mainly for review, approval and more complex or contested cases rather than for every case that comes through the system.

The company already serves more than 20 enterprise clients, concentrated among e‑commerce and direct‑to‑consumer brands, multi‑brand portfolios and companies that deal with IP abuse as a recurring operational problem rather than an occasional one. Artis Bisers, an investment manager at Vendep Capital, has framed the investment around a broader shift he sees taking place across legal services more generally, arguing that AI has turned what were previously service based businesses into software opportunities, and that legal services are particularly ready for that transition. He has pointed out that finding counterfeits was rarely the hardest part of the problem for brands, since detection tools have existed for years, and that the real value lies in everything that happens after a violation is found, the part of the process EnforceShield is built to automate end to end rather than leaving to manual follow up.

The new funding will go toward extending EnforceShield's AI agents beyond standardised takedowns into more complex pathways, including handling of repeat offenders and multi‑step escalations that currently require more judgment than a straightforward takedown request. Alongside that technical work, the company plans to broaden its platform across the wider IP lifecycle rather than focusing solely on enforcement, and to expand commercially into the United States, a market with a large concentration of the e‑commerce and consumer brands that make up EnforceShield's core customer base.

Rudzinskas has described the founding motivation behind EnforceShield in fairly direct terms, saying that by the time he started the company, generative AI had already turned IP abuse into a booming business while enforcement remained largely a human scale operation. His conclusion was that enterprises did not need more lawyers or even a smarter software co‑pilot sitting alongside a human team, but rather a system capable of thinking through an enforcement case the way an attorney would and then acting on that judgment directly, without waiting for a human to execute each individual step.

EnforceShield's raise fits into a broader pattern of AI native legal technology companies emerging across Europe, built around the idea that AI agents can now handle enough of a defined legal workflow to be sold as software rather than as a service layered on top of software. Whether that model proves durable in IP enforcement specifically will likely depend on how well the platform's jurisdiction specific legal logic holds up as it takes on more complex, contested cases beyond the more standardised takedowns that make up much of its current workload, and on how convincingly an AI system's case level decisions hold up if a disputed enforcement action is ever challenged.