Automating Regulatory Monitoring for Arabic Draft Regulations
Challenge
A regulatory compliance team needed to monitor Arabic-language government websites for draft regulations, a process that required manually extracting, translating, and analyzing complex legal texts. Manual efforts were time-consuming, prone to oversight, and struggled to prioritize critical updates due to:
- Language barriers: Arabic’s right-to-left script and nuanced legal terminology complicated accurate summarization.
- Volume of data: Hundreds of draft regulations were published monthly, overwhelming human analysts.
- Dynamic prioritization: Identifying high-impact changes required cross-referencing keywords and regulatory domains, leading to delays in decision-making.
The team sought an automated solution to streamline extraction, summarization, and impact assessment while ensuring compliance with tight reporting deadlines.
Solution
BlocBelt developed a UiPath Studio X-powered automation package to transform regulatory monitoring. The solution included:
- Automated website scraping: Bot navigation of Arabic government portals to extract draft regulations, even from dynamic or paginated layouts.
- Arabic NLP summarization: Integration of specialized natural language processing libraries to condense legal texts while preserving critical context.
- Custom prioritization rules: Logic to flag regulations based on keywords (e.g., “financial penalties” or “environmental standards”) or predefined regulatory domains.
- Multi-format reporting: Automated generation of Excel and CSV reports with summaries, risk scores, and hyperlinks to source documents.
The package enabled non-technical users to configure rules and deploy updates via UiPath Studio X’s low-code interface.
Outcome
The automation package delivered measurable improvements:
- 90% reduction in manual effort by eliminating hours spent on data extraction and translation.
- Real-time prioritization: High-impact regulations were flagged within minutes of publication, accelerating response times.
- Error-free compliance: Arabic NLP ensured accurate summarization, avoiding misinterpretations of legal language.
- Scalable reporting: Teams generated audit-ready Excel/CSV outputs tailored to stakeholders’ needs.
The client reported enhanced agility in adapting to regulatory changes and a stronger ability to proactively mitigate compliance risks.
Technologies Used
- UiPath Studio X: Low-code RPA platform for workflow design and deployment.
- Arabic NLP Libraries: Custom-trained models for summarizing legal Arabic text.
- Web Scraping Framework: Tools to handle dynamic websites and pagination.
- Excel & CSV Integration: Automated report generation for seamless stakeholder sharing.