Rulemapping Group
Making Law Computable – Legal Decision Automation & Law as Code Platform Rulemapping makes law computable by turning laws and regulations into precise, machine‑readable decision logic for legal decision automation at scale. The Rulemapping method models legal norms as visual decision trees (“Rulemaps”) that capture complete if‑then structures, including conditions, exceptions, and cross‑references. As a Law as Code platform, Rulemapping connects legal engineering, AI governance, and digital public infrastructure. The team around Prof. Dr. Stephan Breidenbach supports governments, public administrations, courts, social security institutions, platform operators, and regulated enterprises in transforming legal requirements into robust digital decision logic. Instead of relying only on probabilistic AI, Rulemapping defines the reasoning infrastructure itself: legal rules are translated into deterministic, explainable, and auditable decision models. This provides the backbone for digital legislation projects, automated decisions, DSA procedures, ESG reporting logic, and AI Act–compliant workflows in the public sector and regulated industries. With the free Rulemap Builder and the Rulemapping Automation Platform, users can design, test, and deploy no‑code digital twins of norms without programming skills. Combined with Rule AI, this creates a Law as Code and rule‑based AI platform that delivers reliable, automated decisions – transparent, compliant, and always with human‑in‑the‑loop oversight.
Rulemapping Group
Making Law Computable – Legal Decision Automation & Law as Code Platform Rulemapping makes law computable by turning laws and regulations into precise, machine‑readable decision logic for legal decision automation at scale. The Rulemapping method models legal norms as visual decision trees (“Rulemaps”) that capture complete if‑then structures, including conditions, exceptions, and cross‑references. As a Law as Code platform, Rulemapping connects legal engineering, AI governance, and digital public infrastructure. The team around Prof. Dr. Stephan Breidenbach supports governments, public administrations, courts, social security institutions, platform operators, and regulated enterprises in transforming legal requirements into robust digital decision logic. Instead of relying only on probabilistic AI, Rulemapping defines the reasoning infrastructure itself: legal rules are translated into deterministic, explainable, and auditable decision models. This provides the backbone for digital legislation projects, automated decisions, DSA procedures, ESG reporting logic, and AI Act–compliant workflows in the public sector and regulated industries. With the free Rulemap Builder and the Rulemapping Automation Platform, users can design, test, and deploy no‑code digital twins of norms without programming skills. Combined with Rule AI, this creates a Law as Code and rule‑based AI platform that delivers reliable, automated decisions – transparent, compliant, and always with human‑in‑the‑loop oversight.
