Legal Tech GenAI Data Scientist Job Description (JD)
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A Legal Tech GenAI Data Scientist Job Description (JD) is a GenAI text data scientist JD for legal tech GenAI data scientists.
- Context:
- It can (typically) contain a Legal Tech GenAI Data Scientist Job Tasks Description outlining responsibilities like designing LLM models for legal text analysis, including Legal Document Generation, Legal Translation, and Contract Summarization.
- It can (typically) contain a Legal Tech GenAI Data Scientist Job Skill Requirement section detailing expertise in Natural Language Processing Techniques, Text Generation Algorithms, and Deep Learning Models specific to the legal domain.
- It can (typically) contain a Legal Tech GenAI Data Scientist Job Educational Attainment Requirement, often requiring advanced degrees in fields like Computer Science, Data Science, or Linguistics with a specialization in NLP or AI for legal applications.
- It can (often) reference a Legal Tech GenAI Data Scientist Job Level, indicating the need for professionals who can work independently or lead teams in a legal tech environment.
- ...
- Example(s):
- One in a law firm, focusing on automating legal document review and analysis.
- One in a legal tech startup, developing NLP tools for contract analysis and legal research.
- One in a corporate legal department, using AI to streamline compliance and regulatory reporting.
- ...
- Counter-Example(s):
- A General Data Scientist JD, which may not focus on legal applications.
- A Software Developer Job Description (JD), which focuses on general software development without a specific focus on NLP or legal tech.
- A Data Analyst JD, which typically involves less advanced AI and NLP tasks and lacks a focus on legal applications.
- See: Recruitment, Job Qualification, Job Salary, Job Analysis, Legal Technology, Artificial Intelligence in Law.
References
2024
- Bard
- Responsibilities:
- Design, develop, and implement state-of-the-art LLM models for legal text analysis.
- Collaborate with legal teams, engineers, and product managers to identify opportunities where GenAI and NLP can enhance legal document analysis and contract management.
- Build proof-of-concept pipelines for legal data collection, processing, and integration for training and fine-tuning GenAI models specific to legal texts.
- Design internal LLM-based model evaluation methods, including manual annotation and authoritative legal content.
- Execute experiments to evaluate LLM-based model performance to identify areas for improvement.
- Analyze and interpret results from LLM-based models to extract actionable insights for contract-related decision-making.
- Perform rigorous evaluation and benchmarking of LLM-based models, focusing on legal accuracy, fairness, compliance, and robustness.
- Ensure data quality throughout the project lifecycle, from data acquisition to model training and model deployment.
- Communicate effectively with internal stakeholders, presenting complex findings clearly and understandably.
- Document your work clearly and maintainable for audit and compliance purposes.
- Present your findings and recommendations to senior leadership and legal stakeholders.
- Stay at the forefront of GenAI research.
- Qualifications:
- Master's degree or Ph.D. in Computer Science, Data Science, Linguistics, or a related field.
- Proven experience in Natural Language Processing (NLP), ideally with experience in legal NLP.
- Strong understanding of deep learning models, particularly autoregressive text models.
- Proficiency in GenAI text-relevant programming languages like Python.
- Familiarity with cloud platforms (e.g., GCP, AWS, Azure).
- Excellent analytical skills with a strong emphasis on problem-solving.
- Effective communication skills, capable of liaising between technical teams and subject matter experts.
- Ability to work independently and collaboratively in a cross-functional team.
- Demonstrated passion for GenAI methods.
- Responsibilities: