Legal Data Scientist

The Legal Data Scientist is a specialized role focused on the analysis, modeling, and transformation of legal language using advanced artificial intelligence techniques. This professional bridges the gap between law and data science, converting complex textual and regulatory content into structured, machine-readable knowledge. The position requires mastery of natural language processing (NLP), semantic modeling, and data engineering, combined with an understanding of legal language and domain-specific logic.

Key Responsibilities:

• Design, train, and fine-tune

  NLP models

  specialized in legal and regulatory terminology.
• Develop pipelines for

  information extraction, classification, and semantic tagging

  of legal documents and corpora.
• Implement

  Named Entity Recognition (NER)

  and embedding-based systems to detect legal entities, relationships, and contexts.
• Build and maintain

  curated, semantically annotated legal corpora

  ensuring data integrity and linguistic precision.
• Apply

  machine learning and statistical analysis

  to large-scale legal and doctrinal datasets.
• Evaluate and validate the

  semantic and linguistic accuracy

  of models used in legal AI applications.
• Collaborate with engineers and legal experts to ensure consistency between linguistic representation and conceptual rigor.
• Document and standardize data processing methodologies following academic and technical best practices.