AI Built for Percision and Trust

Research in natural language understanding, dialogue modeling, and information retrieval. This includes AI-powered customer service, intelligent question routing, retrieval-augmented generation, and sentiment analysis - enabling accurate, context-aware interactions between clients and legal professionals.

Work on OCR, document parsing, and vision-language models to analyze legal documents in diverse formats. Focuses on precise extraction, classification, and integration of data, reducing manual effort while ensuring compliance and auditability.

Research in explainability, bias mitigation, continuous learning, and domain-specific fine-tuning. Emphasizes building AI that is transparent, reliable, and aligned with evolving legal standards and regulatory frameworks.