The legal operations AIML team at Apple is looking to transform how the Legal Department operates by developing and deploying AI-powered tools and automation solutions. This involves applying AI expertise to often unexplored aspects of the legal industry to drive efficiency and innovation.
Requirements
- 5+ years of experience building and deploying AI/ML or automation solutions in production environments.
- Strong programming skills in Python (proven ability to quickly master new frameworks and tools).
- Demonstrated experience with modern AI architectures including context engineering, tool use and retrieval augmented generation.
- Familiarity with DMS, document intelligence and CLM systems (e.g., Ironclad, Icertis, DocuSign CLM), document management platforms (e.g., iManage, NetDocuments) or legal AI tools (e.g., Harvey, Luminance, Casetext, Spellbook, etc.).
- Experience building internal AI assistants or chatbots for enterprise knowledge retrieval.
- Understanding of data privacy, compliance and governance frameworks relevant to legal data.
- Strong product development mindset-able to translate business needs into practical, scalable AI tools.
Responsibilities
- Develop and deploy AI solutions that enhance legal workflows, including contract review, document classification, knowledge management and workflow automation.
- Collaborate cross-functionally with attorneys, legal operations, compliance and engineering teams to identify and prioritize AI use cases.
- Act as a product developer and owner from concept to rollout-defining requirements, developing proofs of concept, collecting feedback and iterating solutions.
- Integrate large language models (LLMs) and other AI technologies into existing systems (e.g., document management, eDiscovery, CLM, or knowledge bases).
- Evaluate and integrate third-party legal AI tools and platforms as needed, ensuring compatibility and compliance with internal systems.
- Maintain strong documentation and governance around data usage, model performance and ethical AI standards.
- Stay current on emerging trends in AI, machine learning and legal tech to help shape the department’s AI strategy.
Other
- Thrives in cross-functional environments.
- Deep knowledge of the legal industry and a passion for innovation.
- Technically skilled and product-minded professional who can bridge the gap between engineering, legal, and business functions.
- Excellent communication skills, product sensibility and a curiosity about legal workflows and technology.
- Proven ability to communicate complex technical concepts to non-technical stakeholders.
