About the job
Flagship Pioneering is building a dedicated Legal Operations & Technology function, and we are hiring a second Legal Technology and AI Specialist to help lead its hands-on build-out of AI-powered tools and workflows across the legal department. Reporting to the Director, Legal Operations & Technology, this role combines technical AI engineering skills with legal domain knowledge to design, implement, and maintain AI solutions that accelerate legal service delivery across the organization.
Responsibilities
• Build, configure, and deploy AI-powered tools and workflows for the legal team, including solutions for contract review, legal research, document drafting, compliance monitoring, and knowledge management.
• Develop, test, and maintain prompt libraries and prompt engineering frameworks for generative AI systems used across the legal department.
• Design and implement integrations between AI tools and the Legal Operations &Technology stack (CLM, document management, matter management, e-billing).
• Prototype and iterate on AI-assisted workflows, moving from proof-of-concept to production deployment.
• Monitor emerging AI capabilities (including agentic AI workflows) and evaluate their applicability to Flagship's legal operations.
• Support the development and maintenance of internal AI usage policies and acceptable-use standards for the legal department.
• Build quality control procedures for AI-generated legal work product, including validation protocols, human-in-the-loop checkpoints, and output review standards.
• Conduct technical risk assessments on new AI tools, evaluating for data security, confidentiality, bias, and hallucination risk before deployment.
• Partner with Flagship's IT, information security, and data privacy teams to ensure legal AI tools comply with organizational security standards.
• Serve as a go-to AI resource for the legal team: design and deliver training sessions on effective use of AI tools, responsible prompting, and output verification.
• Document and standardize AI-assisted workflows, creating playbooks and best-practice guides that fit within the broader Legal Operations & Technology process framework.
• Track adoption metrics, define KPIs, and measure the ROI of AI initiatives across the legal team, reporting results to Legal Operations leadership.
• Support Legal Operations & Technology vendor evaluations, product demonstrations, and pilot programs for legal AI platforms and adjacent legal technology.
• Provide technical assessment of vendor AI capabilities, architecture, and data handling practices.
• Recommend tools and platforms based on technical merit, integration feasibility, total cost of ownership, and alignment with the legal team's needs.
• Partner with business and technology stakeholders across Flagship to identify opportunities where legal AI capabilities can support broader organizational objectives.
• Contribute to enterprise-wide AI governance initiatives as the Legal Operations & Technology team's technical representative.
• Collaborate with attorneys and legal operations colleagues to translate legal workflow needs into technical requirements.
Qualifications
Minimum
• Bachelor's degree in computer science, AI/ML, data science, engineering, or a related technical field.
• Demonstrated experience building or engineering AI/ML solutions, including working with large language models, natural language processing, or related technologies.
• Practical understanding of prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and AI system evaluation.
• Exposure to legal operations, legal workflows, or the legal industry through internship, work experience, or coursework.
• Familiarity with the legal technology landscape (CLM platforms, AI-assisted research tools, document automation, e-discovery).
• Strong communication skills, with the ability to translate technical AI concepts for legal and business audiences.
• Ability to manage multiple projects and prioritize in a fast-paced, build-from-scratch environment.
Preferred
• Prior internship or work experience in an in-house legal department, law firm, or legal operations team.
• Experience with legal-specific AI tools (contract AI, legal research platforms, document review systems).
• Familiarity with responsible AI use policies, digital and data governance, data privacy frameworks (GDPR, state privacy laws) as they relate to AI deployment.
• Background in or exposure to life sciences, biotech, or venture capital.
• Experience developing AI governance frameworks, usage policies, or responsible AI guidelines.
• Coursework or certifications in legal studies, legal technology, or legal operations.