Legal Document Annotation and AI Model Fine-tuning
I created and curated labeled datasets for AI training in legal text summarization and clause risk classification. Data labeling involved segmenting judgments for summary and marking contract clauses by risk category. I validated data splits and labeling consistency before model fine-tuning. • Labeled legal ruling text passages for extractive summarization. • Categorized contract clauses into risk levels for supervised learning. • Balanced low-frequency labels and verified annotation consistency. • Prepared and validated training and evaluation data pipelines.