# Manager/Senior Manager, Legal Technology and AI **Company**: Flagship Pioneering **Location**: Cambridge, MA **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Salary**: $108,000 - $176,000 **Category**: Legal **Industry**: Life Sciences **Apply**: https://job-boards.greenhouse.io/flagshippioneeringinc/jobs/8748461002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_f25fb8b3-f47 ## Description Flagship Pioneering is building a dedicated Legal Operations & Technology function and is hiring a Legal Technology and AI Specialist to help lead its hands-on build-out of AI-powered tools and workflows across the legal department. The ideal candidate brings strong technical fluency in AI/ML systems and a working understanding of legal operations gained through direct exposure to in-house legal work. This is a ground-floor opportunity to shape how a leading life sciences and venture creation organization integrates AI into its legal function from day one. ## Key Responsibilities AI Development and Implementation - 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 and evaluate their applicability to Flagship's legal operations. AI Governance and Quality Control - 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. Process, Training, and Adoption - 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. Vendor and Tool Evaluation - 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. Cross-Functional Collaboration - 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 Required - 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. ## Work Environment & Benefits - Standard office environment in Cambridge with hybrid flexibility options. - Collaborative, interdisciplinary teams engaged in high-impact innovation. - Professional growth opportunities across Flagship Pioneering and its portfolio. - Competitive compensation and benefits package. ## Skills ### Required - AI/ML - data science - engineering - legal operations - natural language processing - prompt engineering ### Nice to have - contract AI - legal research platforms - document review systems - responsible AI use policies - digital and data governance - data privacy frameworks --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/flagshippioneeringinc/jobs/8748461002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)