RegGenome is challenging teams to build a smart system that identifies who financial regulations apply to, what they regulate, and how binding they are — across documents from the UK, EU, and US.

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The goal is to turn fragmented legal text into structured, machine-readable data to support faster, more accurate compliance workflows.

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Our solution transforms the provided regulatory data into a "Google Maps for regulations."

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• It parses the unstructured text
• Organizes it hierarchically by document and section
• Entire corpus instantly searchable.
• Filter data based on the key inferred activities, entities, and products. This turns a multi-hour manual research process into an efficient, interactive exploration, drastically reducing the time required to assess a regulation's relevance.

Click here for demo.

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• Our solution reduces redundant manual compliance work and brings clarity to complex regulatory scopes.
• Compliance teams can instantly identify applicable rules without manually sorting thousands of documents.
• Financial institutions gain faster risk awareness and lower legal uncertainty.
• RegGenome and legal tech developers can use our structured outputs to improve future models and automation.
• Lawyers and regulators benefit from transparent mappings across jurisdictions, activities, and definitions.
• It makes regulation understandable, searchable, and scalable.

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