R&D Attorney, Transactional

Overview

This role involves contributing to the development and refinement of a leading legal AI platform used by over 1,300 companies, including public companies and unicorns. The organization has experienced rapid growth, including a 10x revenue increase in 12 months and a recent $60 million Series B funding round.

The position is remote within the United States or Canada, with a hybrid option for candidates living within approximately 50 miles of offices in San Mateo, CA or Provo, UT. Hybrid work includes in-office days on Mondays, Wednesdays, and Fridays.

Responsibilities

• Design and conduct rigorous evaluations to measure the quality and accuracy of AI-generated legal outputs.
• Review and validate product outputs for accuracy, relevance, comprehensiveness, and helpfulness.
• Collaborate with engineering and go-to-market teams to identify performance gaps, diagnose issues, and develop solutions.
• Translate complex legal standards and expectations into clear, testable prompts and evaluation criteria.
• Draft and iterate system prompts for various AI systems.
• Assess foundational AI model performance and suitability for different legal tasks.
• Build and annotate complex legal datasets and document collections.
• Advocate for precision, consistency, and clarity in AI outputs as the legal voice of quality.
• Serve as a bridge between technical teams and legal domain experts, translating legal concepts into product requirements.
• Provide domain-specific legal expertise to guide feature development and product roadmap decisions.
• Generate new product ideas based on a deep understanding of legal teams’ challenges.
• Participate in customer calls and feedback sessions.
• Continuously develop new technical skills.
• Take on additional projects as needed in a fast-growing startup environment.

Requirements

• Law degree with at least 3 years of corporate-commercial/transactional legal experience, preferably in-house.
• Strong familiarity with drafting, reviewing, and negotiating contracts.
• Experience using generative AI for legal work.
• Experience evaluating generative AI outputs.
• Strong quantitative and analytical skills.
• Ability to design and interpret evaluation metrics and abstract legal reasoning into logical, repeatable steps.
• Excellent cross-disciplinary communication and collaboration skills.
• Technological curiosity and aptitude for learning new tools and software.
• Meticulous attention to detail.
• Ability to work cross-functionally with go-to-market and engineering/product teams.

Preferred Qualifications

• Prior user experience with legal AI platforms.
• Interest in legal technology, especially prompt engineering and quality assurance.
• Focus on user experience and trust in AI assistants for legal professionals.
• Experience working closely with software engineers.

Compensation & Benefits

• Competitive base salary benchmarked against real-time market data.
• Meaningful equity participation.
• Comprehensive benefits package.

Salary ranges:

• United States: $150,000 - $240,000
• Canada: CAD $165,000 - CAD $260,000

Final compensation depends on level, market conditions, location, and candidate qualifications. Exceptional performers receive timely compensation adjustments aligned with their impact.

Location

Remote within the United States or Canada. Hybrid work option available for candidates living near San Mateo, CA or Provo, UT offices, with in-office days on Mondays, Wednesdays, and Fridays.

Equal Opportunity

The employer is an equal opportunity organization committed to diversity and inclusion. It does not discriminate based on race, color, religion, gender identity or expression, national origin, age, military or veteran status, sexual orientation, marital status, physical or mental disability, or any other protected class. Reasonable accommodations are provided for applicants with disabilities.

Fraud Notice

Applicants should be aware of recruitment fraud. Official applications are accepted only through the organization's official careers page and sponsored job postings on LinkedIn. Legitimate communications come from official company email addresses.

The organization will never:

• Refer applicants to external websites to apply
• Conduct interviews via email, chat platforms, or messaging apps
• Request payment or purchase of equipment
• Ask for personal or financial information during the application process

Applicants are advised to report suspicious communications and avoid sharing personal information with unverified contacts.