Accelerate regulatory workflows and strengthen compliance defensibility with Interrogator – an AI co-pilot that helps policy and compliance teams surface the obligations that matter, with full traceability to the original regulatory source.
The scale and complexity of regulation continues to grow. Identifying relevant obligations, especially across lengthy, unstructured documents, is time-consuming and difficult to scale.
Manual research processes delay decisions, increase the risk of oversight, and make it harder to build defensible internal policies.
For compliance and policy teams under time and resource pressure, the challenge is not only access to regulation but also extracting information that is relevant with clarity and confidence.
Interrogator is an intelligent tool designed to help policy and compliance teams navigate regulatory complexity with greater precision and ease. It enables users to query a comprehensive regulatory corpus, spanning millions of documents across global jurisdictions, using natural language.
By combining intelligent querying with structured regulatory data, Interrogator helps users quickly identify relevant obligations with speed, accuracy, and full traceability. This reduces manual effort and supports faster, more confident, evidence-based decision-making, while improving productivity across policy development workflows.
Identify relevant obligations in minutes not weeks, reducing time spent on manual document review
AI-assisted querying helps surface obligations that may be missed under time pressure or across large volumes of text
Every result is source-linked, supporting audit-ready compliance and regulatory transparency
Ground internal policies and controls in clear, evidence-based obligations
Reduce time spent on manual research and free teams to focus on higher-value policy and compliance decisions.
Interrogator is built on structured regulatory data engineered for clarity, consistency, and auditability, enabling faster research and stronger compliance decisions.
Automated obligation extraction
Identifies obligation-level content from regulatory texts using RegGenome’s trained models and data schema
Source-linked outputs
Every obligation is tagged with its originating citation, ensuring traceability back to the authoritative regulatory text
Consistency across jurisdictions
Designed to eliminate variability across jurisdictions and timeframes, enabling dependable responses to natural-language queries
Use natural language to describe a compliance scenario, policy question, or regulatory theme of interest.
Your query is run against a global, machine-readable dataset of regulatory documents – standardised across jurisdictions and publishers.
Results are surfaced at the obligation level and fully traceable to their original source documents.
Obligations are automatically organised into a report based on their regulatory focus, making the output easier to navigate and apply.
Use the results to inform policy development, draft controls, or share across teams, via download or integration.
Be among the first to explore Interrogator, our AI co-pilot for regulatory and policy teams.
This limited BETA includes:
Your valuable feedback will help tailor Interrogator to meet your needs and influence how it evolves ahead of its full launch.
