AuthoriseMe Case Study - Background v1
AuthoriseMe Group

Supporting regulatory monitoring with AI-powered intelligence: Legal watch

Transforming a manually delivered regulatory monitoring service into a scalable, auditable AI product powered by Claude and built for reliable client-facing use.

AuthoriseMe Case Study - Logo v1
About AuthoriseMe

Enabling regulatory compliance across Europe

AuthoriseMe Group supports internationally active companies in meeting their Extended Producer Responsibility (EPR) obligations. As a central point of contact, it reviews regulatory requirements, coordinates the necessary registrations and reporting, and, where required by law, acts as the authorised representative in all 27 Member States of the European Union.

A key foundation of these services is the early identification and structured assessment of regulatory changes across numerous countries, languages and areas of law. Given the large number of relevant sources and increasing regulatory complexity, this process had previously involved substantial manual research and review.

As AuthoriseMe Group continued to grow internationally, so did the need to make regulatory research more efficient and scalable, without compromising technical quality or the experts’ final assessment.

Our approach

Transforming regulatory monitoring into a scalable AI product

01

Regulatory data foundation

Built an agentic source-monitoring pipeline spanning crawling, source validation, document extraction, and classification, supported by a curated regulatory database and vector-based indexing.

02

AI-powered regulatory analysis

Implemented Claude-powered workflows to assess relevance, classify regulatory content, and identify legal bases against a closed and verified set of laws, creating structured links between regulatory developments and applicable legislation.

03

Human-in-the-loop quality assurance

Designed an expert review environment exposing matched passages, confidence signals, and reasoning traces. Four quality gates — Verification, Relevance, Draft Control, and Publication — ensure that senior legal experts retain control over publication decisions.

04

Product launch & client integration

Developed the platform architecture, reporting capabilities, and distribution workflows required to turn Legal Watch into an internal tool to enhance frequency and delivery speed in outputs towards clients.

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Those who identify regulatory change early can act faster and with greater certainty. AI does not replace regulatory expertise; it makes applying that expertise faster and more scalable. Together with OMMAX, we integrated Claude into our own Legal Watch solution, combining our experts' international experience with the speed of artificial intelligence and translating regulatory developments into clear recommendations for our clients more quickly.

Raffael Fruscio

Raffael Fruscio
Founder & CEO RAAN Corporate Group

Key capabilities

Building an AI platform to support regulatory monitoring

Legal Watch automates the processing and structuring of regulatory information. However, deriving customer-specific recommendations for action remains deliberately the responsibility of our experts.

01

Agentic regulatory monitoring

Automated monitoring and validation of regulatory sources across multiple countries, languages, and source formats to reduce the manual effort required to identify relevant developments.

02

Intelligent document processing

Extracted and classified regulatory documents to create structured, searchable information for downstream analysis and expert review.

03

Legal knowledge intelligence

Built a structured regulatory knowledge layer connecting new developments with verified legal bases while maintaining provenance, update history, and traceability to primary sources.

04

Claude-assisted regulatory drafting

Leveraged Claude to generate client-ready regulatory updates based on validated source material, accelerating content creation while maintaining expert oversight and defined quality controls.

05

Expert validation & quality controls

Established four quality gates and dedicated review workflows so legal experts can validate AI-generated outputs, correct classifications, and approve content before publication.

06

Auditability & traceability

Created a comprehensive audit trail documenting what the system identified, accepted, rejected, and ultimately released, enabling transparent and controlled use of AI in a high-stakes regulatory environment.

Get in touch

Turn work-intense services into scalable AI products. Talk to our experts!

Daniel Soujon

Daniel Soujon

Partner & CTO

Marius Michel

Marius Michel

Director Data & AI

Helen Orgis

Helen Orgis

Vice President Strategic Alliances