As AI continues to expand into various sectors, one of the most challenging yet crucial applications is legal document analysis. Arabic language presents unique hurdles for AI models based on Large Language Models (LLMs) due to its rich linguistic features, right-to-left script, and regional dialects.

Artificial Intelligence (AI) has permeated industries, reshaping how businesses operate and innovate. However, while the spotlight often shines on cutting-edge algorithms and scalable compute resources, one crucial element tends to be overlooked: human annotation and expertise.

While AI/ML models continue to evolve, the next significant challenge is acquiring quality data. When I talk about data quality, I’m not just referring to data that has been cleaned, de-duplicated, network-complete, or validated. I also mean data enriched with metadata that provides the deeper context necessary for effective model training.