AI Legal Data Strategy Lead for LLMs

Google LLC; Greater London; On-site; GBP 157,000 - 227,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google DeepMind's Gemini Data team seeks a Legal Expert Lead to shape data strategy for the Legal sector. You will map complex workflows, identify where model improvements are needed, and curate high-quality data to enable Gemini to assist lawyers with precision.

You will collaborate with research, product and legal stakeholders to define capabilities, drive data coverage, and scale SME contributions while upholding safety and ethics as top priorities.

Qualifications

• Juris Doctor (JD), LLM, or equivalent practical experience.
• Experience measuring performance of LLMs or generative AI for legal use cases.
• Strong technical capabilities including programming and evaluating ML models.

Responsibilities

• Set the Legal data strategy by mapping workflows into a use-case taxonomy.
• Create high-quality Legal data by designing tasks and rubrics and QA-ing datasets from vendors, customers, and synthetic pipelines.
• 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 SMEs, acting as the domain authority to enforce vendor quality, and converting expert contributions into usable training data.

Skills

AI strategy

Cross-functional collaboration

Programming proficiency

Model evaluation

Education

J.D. or LLM or equivalent

Job description

Google DeepMind's Gemini Data team seeks a Legal Expert Lead to shape data strategy for the Legal sector. You will map complex workflows, identify where model improvements are needed, and curate high-quality data to enable Gemini to assist lawyers with precision.

You will collaborate with research, product and legal stakeholders to define capabilities, drive data coverage, and scale SME contributions while upholding safety and ethics as top priorities.