Masr Legal AI is developing a tool to assist law firms by predicting the likely outcome of legal cases based on past case records. The model will focus on civil disputes initially and help lawyers assess case strength before going to court.
Requirements:
Experience in Natural Language Processing (NLP) and structured data modeling
Familiarity with text preprocessing, TF-IDF, and embeddings
Python expertise with libraries like Scikit-learn, SpaCy, NLTK, and XGBoost
Understanding of binary/multiclass classification problems
Optional: Experience with legal or compliance-focused datasets
مراحل الوظيفة
Deliveries
Cleaned and preprocessed dataset (text + structured)
Trained classification model with proper evaluation
SHAP or LIME explanation of model predictions
Notebook with full documentation
Optional: PDF summary report for non-technical legal teams