Applied Legal Researcher

Key Skills

Aartificial intelligence, Effective communication skills, Large data sets, Large Language Models - LLMs, Machine learning techniques

Job Description

Harvey is a secure AI platform for professionals in law, tax, and finance that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:

• Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world like A&O, PwC, and many others.

• Strategic investors: Raised over $100 million from strategic investors including Sequoia, Kleiner Perkins, and the OpenAI Startup Fund.

• World-class team: Harvey is hiring the best technical and non-technical talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Superhuman, Glean, etc.

• Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.

• Value: Top of market cash and equity compensation.

Role

We are looking for a legal researcher with a strong understanding of how large firms and other organizations deliver professional services and execute complex legal and knowledge work tasks. We have incredible product-market fit & demand across diverse customer profiles. Executing on this demand requires a strong understanding of our customer’s workflows and how those workflows can be accelerated by AI systems.

To facilitate the development of these systems, you will:

• Work with clients to understand their workflows and develop subject matter expertise on high value problems at leading professional services firms

• Translate these problems into AI systems and work closely with our ML research team to define and develop these systems

• Elucidate and develop expertise from generalist models through prompt engineering and fine-tuning

• Build proprietary internal benchmarks to evaluate models and model systems

• Receive and integrate feedback from clients into research and development processes to define and achieve positive outcomes

• Tackle unsolved AI product problems — user experiences for million-token many-step agents, instant retrieval over huge TB datasets, etc.

• Work closely with our founders, execs, and research teams

• Disrupt multiple $T+ industries

Qualifications

• 3-7 years of experience at a large law firm or equivalent professional service provider

• Demonstrated ability to deliver high quality work product on demanding deadlines

• Ability to effectively communicate with both clients and internal stakeholders and translate seamlessly and effectively between both groups

• Ability to define positive outcomes in situations with underspecified success criteria

• Willingness and desire to do work in the trenches — e.g., grading hundreds of answers, breaking down thousands of documents — getting the models to do junior associate work requires a lot of things that look like junior associate work

Compensation

The expected range of compensation for this role is between $200,000 and $250,000. Additionally, this role is eligible to participate in our equity plan. The successful candidate’s starting salary will be determined based on non-discriminatory factors such as skills, experience, and geographic location.