
Legal Transformer, Compliance, Professional Intelligence, DeepMind
Mountain View, CAJob$174–252K/yrSeen todaySeen in employer's feed today
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Job overview
The Legal Transformer will help develop generative AI tools for legal compliance, applying legal expertise to scalable, technology-driven systems. The role bridges compliance practice and product development, working with software developers and machine learning experts on data synthesis and auditable, source-cited determinations. It also guides legal standards, product design, and model evaluation for compliance teams.
Skills & qualifications
Skills
Qualifications
Full job description
Legal Transformer, Compliance, Professional Intelligence, DeepMind
Share Legal Transformer, Compliance, Professional Intelligence, DeepMind
corporate_fare DeepMind place Mountain View, CA, USA
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Minimum qualifications:
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JD, LL.B., equivalent degree, or equivalent practical experience.
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6 years of experience practicing civil law within a law firm or an in-house compliance team.
Preferred qualifications:
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Enthusiasm for moving from 1:1 client advisory work to building scalable, technology-driven systems that empower thousands of practitioners.
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Ability to deconstruct complex legal reasoning into structured logic that can inform AI behavior and user-facing audit trails.
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Ability to articulate nuanced legal requirements to technical teams and present sophisticated AI solutions clearly to legal stakeholders.
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Strong passion for the intersection of law and generative AI, with a desire to redefine the boundaries of legal tech.
About the job
As a Legal Transformer, you will focus on the compliance legal function to help pioneer the next generation of generative AI tools designed specifically for legal. Moving away from the traditional linear model of bespoke, one-off legal advice, you will represent a paradigm shift: applying deep legal expertise to build scalable, extensible, and flexible AI-driven solutions across massive data volumes.
In this role, you will bridge the gap between compliance with legal practice and technical product development. Working alongside software developers and machine learning experts, you will help design an architecture that synthesizes tens of millions of pieces of unstructured, multi-modal data into a cohesive, real-time story. Crucially, you will ensure this platform is built with absolute auditability at its core, enabling legal professionals to see not just what determination was reached, but the precise, source-cited audit trail of why.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google 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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
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Lead initiatives from concept to delivery by taking full ownership, asking critical questions, building consensus, and proactively resolving roadblocks.
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Analyze complex end-to-end compliance lifecycles to design reusable, secure GenAI features that optimize workflows while protecting sensitive data.
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Provide authoritative regulatory guidance to maintain rigorous legal standards, ensure platform accuracy, and establish trust with top compliance legal teams.
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Collaborate closely with engineering, product, and UX to guide product goals, align technical specs with legal standards, and resolve complex use cases.
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Lead transparent AI architecture with verifiable source citations, while conducting rigorous model evaluation across thousands of documents and adversarial test scenarios.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
How this job compares
Set against the 2,734 open Compliance jobs on Olive Jobs, counted October 29, 2026.
- Pay
- This posting$174–252K/yr
- California median$140–203K/yr206 salary ranges
- US median$113–179K/yr1,825 salary ranges
This range's midpoint, $213K, is 24% above the California median midpoint ($172K) — in the middle half of Compliance salary ranges in California.
- Openings
- Olive Jobs lists 274 open Compliance jobs in California and 2,734 across the US. 8% of them nationwide are listed as remote or flexible.
- Hiring the most in California
- Deloitte14 open
- Philadelphia Insurance Companies6 open
- BeOne Medicines5 open
- Experience
- This posting asks for at least 6 years of experience; Compliance postings that state a minimum ask for 5 years at the median (2,312 postings).
- Education
- 1,201 of the 2,734 open Compliance jobs (44%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 29, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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