[Remote] Counsel, Privacy and AI Regulations at Cohere

San Francisco, California, United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

J.D. and active membership in at least one U.S. state bar (California preferred)
4+ years of legal experience
A combination of law firm and in-house experience at an enterprise software company is preferred
Expertise in data protection, AI, and digital platform regulation (e.g., CCPA, EU AI Act)
Deep understanding of AI/ML technologies and platforms, product development lifecycles, and data governance
Track record of building cross-functional relationships and translating legal concepts into clear, actionable advice for non-legal stakeholders
Comfort operating in a fast-paced technology company, adapting to new priorities, and navigating ambiguity

Responsibilities

Serve as a trusted advisor to product managers, engineers, and designers, providing real-time legal guidance on AI/ML solutions, including on preventing misuse and addressing safety, privacy, and copyright risks and mitigations
Draft and implement internal policies, workflows, and risk assessments to ensure compliance with global AI and privacy regulations
Convert complex legal requirements and industry standards (e.g. CCPA, US State AI legislation, industry codes of practice) into actionable technical and operational requirements
Develop expertise on global laws, regulations, and industry standards and trends relevant to AI enterprise solutions and advise on strategic responses
Partner with external legal counsel, policymakers, and internal stakeholders including GRC, Security, Safety, Policy and Government Affairs, and Go-to-Market teams to align product strategies with and shape emerging regulatory trends
Negotiate and draft data processing agreements and AI regulatory terms in customer and vendor agreements

Skills

Cohere

Provides NLP tools and LLMs via API

About Cohere

Cohere provides advanced Natural Language Processing (NLP) tools and Large Language Models (LLMs) through a user-friendly API. Their services cater to a wide range of clients, including businesses that want to improve their content generation, summarization, and search functions. Cohere's business model focuses on offering scalable and affordable generative AI tools, generating revenue by granting API access to pre-trained models that can handle tasks like text classification, sentiment analysis, and semantic search in multiple languages. The platform is customizable, enabling businesses to create smarter and faster solutions. With multilingual support, Cohere effectively addresses language barriers, making it suitable for international use.

Toronto, CanadaHeadquarters

2019Year Founded

$914.4MTotal Funding

SERIES_DCompany Stage

AI & Machine LearningIndustries

501-1,000Employees

Risks

Competitors like Google and Microsoft may overshadow Cohere with seamless enterprise system integration.

Reliance on Nvidia chips poses risks if supply chain issues arise or strategic focus shifts.

High cost of AI data center could strain financial resources if government funding is delayed.

Differentiation

Cohere's North platform outperforms Microsoft Copilot and Google Vertex AI in enterprise functions.

Rerank 3.5 model processes queries in over 100 languages, enhancing multilingual search capabilities.

Command R7B model excels in RAG, math, and coding, outperforming competitors like Google's Gemma.

Upsides

Cohere's AI data center project positions it as a key player in Canadian AI.

North platform offers secure AI deployment for regulated industries, enhancing privacy-focused enterprise solutions.

Cohere's multilingual support breaks language barriers, expanding its global market reach.

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