Bayshore, a Munich-based legal and compliance technology startup, announced that it has raised $8 million in seed funding. The round was led by Earlybird Venture Capital, with participation from Lucid Capital, BOOOM, Heliad, and a group of strategic angel investors. The company is emerging from stealth with a platform designed to transform regulations, company policies, and other rulesets into machine-readable code that powers auditable AI agents.

Founded by Philipp Wiegand, Paul F. Welter, and Erik Krauter, Bayshore aims to help enterprises manage increasingly complex legal and compliance requirements. The platform acts as a legal and compliance front door for organizations, enabling AI agents to handle routine requests, provide guidance, pre-clear low-risk cases, and escalate more complex matters to human experts when necessary.

According to the company, traditional compliance processes often rely on manual reviews, spreadsheets, PDF forms, and email chains, creating delays and friction for business teams. Bayshore addresses this challenge by translating legal requirements into deterministic, machine-readable guardrails that allow AI agents to operate in a reliable, explainable, and auditable manner.

The company said multiple Global 2000 organizations are already implementing its platform to embed legal and compliance requirements directly into business operations and decision-making processes. Bayshore plans to use the new funding to continue developing its platform, expand its team, and support deployments for customers operating in highly regulated industries.

Paul F. Welter previously conducted research at Stanford on transforming legal documents into machine-readable logic. Bayshore says this combination of legal expertise and engineering capabilities enables it to build AI systems that provide the auditability and consistency required for enterprise compliance workflows.