Applied Legal Researcher

Harvey Harvey · AI Frontier · San Francisco, CA · Legal

This role focuses on applying and improving AI systems, specifically agentic AI, within the legal domain. The individual will leverage their legal expertise to inform AI research, work closely with engineering and product teams, and use techniques like prompt engineering and fine-tuning to build and enhance AI capabilities. A key responsibility is developing benchmarks and datasets for model evaluation, and partnering with clients to translate legal requirements into technical solutions. The role involves hands-on work to enable AI systems to perform tasks typically done by junior legal professionals.

What you'd actually do

  1. Develop and deliver subject-matter expertise to support AI research
  2. Work closely with our engineering, product, and design teams to define and develop AI systems
  3. Build and improve AI systems through prompt engineering, fine tuning, and other techniques
  4. Build proprietary benchmarks and datasets to evaluate models and model systems
  5. Partner directly with clients to understand their workflows, identify pain points, and translate complex business and legal requirements into technical solutions

Skills

Required

  • JD or equivalent post-graduate qualification
  • 3-7 years of experience at a law firm, financial institution, or equivalent professional service provider
  • Demonstrated ability to deliver high quality work product on demanding deadlines
  • Ability to effectively communicate with a variety internal and external stakeholders and translate complex problems effectively between them
  • Ability to define positive outcomes in situations with underspecified success criteria
  • Deep intellectual curiosity and eagerness to learn across domains
  • Willingness and desire to do work in the trenches

What the JD emphasized

  • agentic AI
  • enterprise-grade platform
  • prompt engineering
  • fine tuning
  • benchmarks and datasets
  • work in the trenches

Other signals

  • AI systems
  • agentic AI
  • prompt engineering
  • fine tuning
  • benchmarks and datasets