Legal Subject Matter Expert (SME) - Job Description
Role Overview
We are seeking an experienced Legal Subject Matter Expert (SME) with sharp analytical skills
and a deep understanding of legal frameworks to join our AI training and model development
team. The ideal candidate will bring broad expertise in the legal sector—including litigation,
corporate law, regulatory compliance, contract management, and intellectual property—to help
train, evaluate, and fine-tune AI models. Your goal is to ensure the highest levels of accuracy,
jurisdictional relevance, and logical reasoning within the AI’s output.
You will work with cross-functional teams of data scientists, AI engineers, and product teams to
build intelligent legal solutions such as automated contract review tools, legal research assistants,
and compliance monitoring engines.
Project Goal & Scope: The goal is to construct high-quality datasets that represent realistic, endto-end legal workflows and professional skills. These datasets will train and test the model''s ability
to act as a competent and helpful Legal Associate or Counsel. We are pursuing a dataset that
represents work beyond simple retrieval or isolated definitions; instead, it should demonstrate
real-world use cases performed by mid and senior-career legal experts.
Key Responsibilities
β Domain Oversight: Serve as the primary legal authority during the training and finetuning of AI models, ensuring all outputs adhere to legal standards and correct terminology.
β Knowledge Architecture: Develop knowledge bases, legal taxonomies, and ontologies
that reflect multi-jurisdictional standards and complex legal hierarchies.
β Data Validation: Annotate, label, and validate datasets with specific legal knowledge (e.g.,
case law citations, statutory interpretations, and contractual clauses).
β Prompt Engineering & Strategy: Collaborate with AI/ML engineers to design training
data strategies and prompt engineering techniques specifically tailored for legal reasoning
and drafting.
β Model Audit:Provide expert feedback on model outputs, identifying "hallucinations," legal
inaccuracies, or ambiguities to improve the model’s reliability in high-stakes environments.
β Business Alignment: Partner with product teams to align AI capabilities with legal
objectives, such as reducing discovery timelines or automating risk assessment.
β Regulatory Watch: Stay current with emerging trends in LegalTech and AI-related
regulations to ensure ethical and compliant model implementation.
Project details
Internal - General Use
β Duration: Tasks for this project are expected to be available for 3 months
(with potential extensions).
β Location: Remote (You must be based in the United States).
β Type: Freelance/Independent contractor.
β Payout structure:
β Schedule Flexibility: Hours are flexible and based on the applicant''s
availability. Tasks can be worked on Mon-Sun.
Required Qualifications
β Education: Juris Doctor (JD) or Master of Laws (LLM) from an accredited law school.
Active bar membership is a plus.
β Experience: 10–20 years of experience in the legal sector (e.g., private practice, in-house
counsel, or legal research).
β Analytical Precision: Proven ability to translate complex legal processes into structured
logic and data requirements.
β Communication: Exceptional writing and verbal skills, with the ability to bridge the gap
between technical AI teams and legal stakeholders.
β Systems Knowledge: Familiarity with legal tech stacks such as CLM (Contract Lifecycle
Management), eDiscovery platforms, or legal research databases (Westlaw/LexisNexis).
AI Familiarity
β Familiarity with Generative AI concepts, prompt engineering, and data
preparation is a plus.
β Awareness of ethical Generative AI practices, including bias detection and
responsible data usage.