ClauseMatch Supports ADGM to Drive Regulatory Reforms

​Regulatory technology company ClauseMatch announced on Monday the results of its 12-month collaboration with the Financial Services Regulatory Authority (FSRA) of Abu Dhabi Global Market (ADGM) - introducing the auto-generated knowledge graphs and AI-powered tagging of regulatory texts. The team has presented actual regulation in a form of a structured knowledge graph as a step on the way to digital regulation.

For various concepts, more than a thousand pages from ADGM regulations have been labeled by ClauseMatch. For most of the AI models, the accuracy score is higher than 90%. Trained AI Models learned to understand financial concepts and then when applied to the whole ADGM corpus detected hundreds of thousands of occurrences for thousands of various entities from various concepts, many of which were not even presented at the training stage. Yet, the models were still able to detect these unseen cases successfully.

Enabled by artificial intelligence and advanced NLP (Natural Language Processing) algorithms, the knowledge graphs are designed to represent regulatory data in a structured and visual format. They are an essential mechanism to transform regulation into a machine-readable format.

Anastasia Dokuchaeva, Head of Partnerships at ClauseMatch said: "Regulations provide a blueprint of duties and responsibilities expected from the individuals and businesses. And in today's world, when we are tackling many issues from economic stability, sustainability, pandemics, financial crime, information & cybersecurity, and remote working to name a few, these same regulations are rapidly changing and incredibly hard to keep up with manually. That's why technology is so exciting.

It's been an honour to work alongside ADGM and see our data science team pioneering the way to identify, structure and visualise regulatory requirements and interdependencies."