Law Clerk (Commercial Real Estate / Energy)

About this role

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Skills

Key responsibilities

• Review and analyze commercial real estate documents, site control agreements, and title records for power generation projects on the US East Coast.
• Extract and structure key data points, focusing on land-use rights and ownership verification for development and infrastructure projects.
• Identify, document, and categorize evidence of land-use compliance, as well as potential deficiencies in legal documentation.
• Collaborate with a tiered team (Specialists/Senior Law Clerks and Senior Associates/Partners) to ensure accuracy through initial reviews and final reconciliations.
• Contribute to the creation of benchmark datasets, supporting the validation and improvement of AI-driven document review models.
• Communicate findings effectively, both in writing and verbally, ensuring clarity and precision in all deliverables.
• Apply evidence-based legal analysis to inform model training and system evaluation.

Required skills & qualifications

• Demonstrated expertise in commercial real estate law, particularly related to large-scale infrastructure or power generation projects.
• In-depth understanding of title, ownership, and land-use rights documentation for complex developments.
• Hands-on experience with document review, data extraction, and flagging legal deficiencies or risk factors.
• Meticulous attention to detail and commitment to high-quality, structured data extraction.
• Excellent written and verbal communication skills, with an emphasis on precise documentation and collaborative teamwork.
• Professional experience within US East Coast jurisdictions.
• Familiarity with multi-tiered legal review processes and evidence-based analysis methodologies.

Preferred qualifications

• Direct involvement in power generation or energy project land acquisition and permitting processes.
• Prior exposure to AI agent projects or automated legal review platforms.
• Advanced legal research or data annotation experience supporting technology-driven initiatives.