Regulatory-to-Action Mapping

From Legal Texts to Actionable Controls

Financial crime regulations are complex, dynamic, and often difficult to translate into daily operational decisions. Nevora helps compliance teams turn policy into practice — automatically. We extract obligations, owners, and evidence requirements from laws, directives, and internal frameworks, mapping them directly into your workflows.

Understand What’s Required — Instantly

Our system parses complex regulatory documents and internal policies — extracting obligations, timelines, roles, and jurisdictions — so your teams don’t have to manually interpret legalese.

Align With Internal SOPs

Extracted rules are mapped directly to your escalation flows and control framework. That means better accountability, faster execution, and no gaps between intention and action.

Evidence Compliance, Automatically

Each rule is tied to source text and comes with evidence-tracking options — making it easy to demonstrate compliance during audits or regulator reviews.

Case Study : AI-Powered Contract Analysis & Key Term Extraction

Challenge

A SaaS company serving legal departments needed to standardize information across thousands of contracts to enable downstream data analysis. Contracts varied in language, format, and structure, making manual extraction impractical.

Solution

We developed an AI-powered pipeline using LLMs (including ChatGPT and LangChain) to extract and normalize key contractual data points across formats. While not originally designed for AML use, the solution demonstrated how legal documents could be parsed into consistent, structured outputs suitable for compliance tooling.

Impact

This work highlighted the feasibility of transforming unstructured text — whether internal policies or external regulations — into structured data. The same approach now underpins Nevora’s ability to turn complex AML directives into taskable controls that support regulatory mapping and audit readiness.