Legal Expert Lead, Gemini Data, DeepMind

DeepMind Technologies Limited; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

DeepMind is expanding Gemini’s frontier AI capabilities in the Legal sector. As a Legal Expert Lead, you will map complex Legal workflows, identify data improvements, and curate high-quality data to enable Gemini as the ultimate AI assistant for legal professionals.

You will partner with research and cross-functional teams to prioritize capabilities, source pipelines, and data coverage, while ensuring safety and ethical standards across a global organization.

Qualifications

• JD, LLM, or equivalent practical experience.
• Experience measuring the performance of LLMs or generative AI tools and optimizing them for legal use cases.
• Ability to bridge law and AI with cross-functional collaboration.

Responsibilities

• Define and implement the Legal data strategy by mapping workflows into use-case taxonomy.
• Create high-quality Legal data and QA datasets from vendors, customers, and synthetic pipelines.
• Assess model failures and stress-test checkpoints to improve legal knowledge coverage.
• Build and evaluate data strategy effectiveness with industry benchmarks.
• Scale expertise by guiding SMEs and enforcing data quality for training.

Skills

Performance measurement of LLMs

Cross-functional collaboration

Education

Juris Doctor / LLM or equivalent

Tools

Programming proficiency

Job description

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA; London, UK.

Minimum qualifications

• Juris Doctor (JD) degree, Master of Laws (LLM), or equivalent practical experience.
• Experience measuring the performance of Large Language Models (LLMs) or generative AI tools and optimizing them for legal use cases.

Preferred qualifications

• Experience prioritizing AI capabilities and collaborating closely with cross-functional technical partners to unlock value for legal professionals.
• Experience breaking down legal workflows into concrete tasks, evaluation rubrics, and quality standards.
• Demonstrated dual expertise bridging law and AI, such as transitioning from a legal practitioner into a technical machine learning role, or vice versa.
• Strong technical capabilities, including programming proficiency, evaluating machine learning models, and applying Large Language Models to complex legal workflows.

About the job

At DeepMind, we are expanding Gemini’s frontier AI capabilities into highly specialized professional domains. As a part of a Legal Expert Lead, you will shape our foundational data strategy for the Legal sector. In this role, you will apply your deep domain knowledge to map complex Legal workflows, identify critical areas for model enhancement, and curate the high-quality data necessary to make Gemini the ultimate AI assistant for Legal professionals.Artificial intelligence will be one of humanity’s most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Responsibilities

• Set the Legal data strategy by mapping workflows into a use-case taxonomy, and partnering with research to prioritize capabilities, data coverage, and sourcing pipelines.
• Create high-quality Legal data by designing tasks and rubrics, and QA-ing datasets from vendors, customers, and synthetic pipelines for correctness, realism, and coverage.
• Steer data priorities using model failures by reproducing reported losses and stress-testing checkpoints on real workflows to identify missing legal knowledge and false assumptions.
• Build Legal evaluations by assessing industry benchmarks to measure data strategy success, and advise cross-team evaluation efforts on legal coverage and realism.
• Scale expertise by recruiting and guiding Subject Matter Expert (SMEs), acting as the domain authority to enforce vendor quality, and converting expert contributions into usable training data.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .