Legal Expert Reviewer & Quality Consultant

DataForce by TransPerfectRemote, United States, AMERICAS
Remote

About The Position

We are looking for a Senior Legal Consultant with extensive practice experience to oversee the quality and accuracy of legal datasets used for AI training. This is a high-level advisory and quality control role. You will be the final authority on whether the AI’s legal reasoning meets the rigorous standards of the profession. Instead of just checking facts, you will perform Senior-Level Quality Audits to identify where instructions may be legally ambiguous and ensure that the work produced by other contributors is professional, jurisdictionally accurate, and practically sound.

Requirements

  • Juris Doctor (JD) or Master of Laws (LLM).
  • Bar Admission (current or former) in good standing is required.
  • 20+ years of legal experience.
  • Experience serving as Senior In-House Counsel, Lead Litigators, or similar senior leadership roles within the legal field.
  • Ability to explain complex legal nuances to non-legal technical teams in a clear, practical manner.
  • Senior Legal SME
  • A practical understanding of how AI tools are used for legal research, contract drafting, and case summaries.
  • Knowledge of the ethical considerations regarding AI in legal practice, specifically around data privacy, client confidentiality, and professional conduct.
  • The ability to convert complex legal nuances and jurisdictional rules into clear, structured guidelines for technical teams.
  • Familiarity with professional systems such as eDiscovery platforms, Contract Lifecycle Management (CLM) software, or advanced legal research databases like Westlaw and LexisNexis.

Responsibilities

  • Review and refine the guidelines used to train the AI, ensuring they align with standard legal practices and terminology.
  • Audit complex legal outputs to identify errors in logic, jurisdictional nuance, or statutory interpretation.
  • Determine if the issue is a flawed instruction, a misunderstood prompt, or a gap in the evaluation criteria when inconsistencies arise in the data.
  • Ensure the AI’s work product reflects the standards expected of a Senior or Lead Counsel in a professional setting.
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