Description

Responsibilities
• Lead experimentation and model development for AI/ML solutions in legal products
• Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies)
• Define agentic workflows and reasoning strategies for multi-step legal tasks
• Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality)
• Analyze large-scale legal datasets to extract insights and improve model performance
• Establish best practices for model evaluation, validation, and benchmarking
• Translate experimental results into clear product recommendations and business impact
• Collaborate with product, legal experts, and engineers to align solutions with user needs
• Mentor team members and provide technical leadership in data science and AI

Key Skills

Education

Not specified