Summary Join our Legal Innovation Hub to drive the design delivery and continuous improvement of enterprise legal technology solutions including Generative AI-driven and agentic platforms CLM workflow automation and integration with core enterprise systems In this techno-functional Business Analyst role you will translate complex legal requirements into effective legal tech and GenAI solutions champion design thinking and ensure all platforms are secure compliant and measurable in their impact while working in close partnership with legal IP IT business PMO and other cross-functional teams to foster innovation and advance our legal technology landscape Key Responsibilities Serve as a liaison between Legal Business and DDIT translating needs into roadmaps backlogs and release plans Provide support in Defining guardrails evaluation criteria and model risk controls for safe compliant AI adoption across legal use cases Establishing prioritization frameworks balancing value risk and feasibility chair design reviews and go no go decisions Gather legal and business requirements run discovery workshops to capture contract types templates playbooks workflows SLAs and control points Conduct gap analyses vs current systems and processes draft functional technical specifications data models and integration patterns Drive integration with ERP e-signature DMS SSO systems collaborate with DDIT and PMO teams to ensure robust pipelines and governance Identify and shape high value GenAI use cases clause comparison AI assisted review risk flagging redline suggestions summarization and negotiation support Demonstrated expertise with Large Language Models including Azure OpenAI GPT family and Claude etc Experienced in orchestration using frameworks such as LangChain LangGraph and Semantic Kernel as well as function tool calling agent agentic frameworks and retrieval-augmented generation RAG patterns Experienced in Microsoft platforms including Copilot Studio as well as low-code and no-code platforms such as Power Apps Proficient in vector and search technologies including Azure AI Search FAISS metadata strategies and hybrid search approaches Skilled in evaluation and guardrails implementation encompassing prompt and unit testing usage of golden sets factuality and hallucination assessment in LLMs red-team case analysis PII masking and deployment of content filtering solutions Lead change strategies and drive adoption metrics time to value cycle time automation rate etc Essential Requirement Legal background e g LL B LL M or equivalent with deep experience in legal technology and operations 12 years overall experience including 6 years in legal tech delivery and 2 years building LLM GenAI or agentic solutions Skilled at analyzing and understanding end-to-end legal processes and workflows with the ability to proactively identify and design technology-driven improvements to optimize and automate routine legal tasks Experience in legal operations within the pharmaceutical life sciences or healthcare sectors including clinical trial contracting regulatory compliance and industry-specific legal processes Strong experience in Software Development Life Cycle SDLC is essential Experience in LLMOps and MLOps including comprehensive model lifecycle management data and version control robust evaluation processes continuous monitoring prompt and response logging model benchmarking and the implementation of operational guardrails Experience in NLP LLM orchestration prompt engineering RAG embeddings caching evals experience with agent frameworks Familiarity with privacy compliance and AI safety guardrails Demonstrated proficiency in developing PowerPoint presentations Experience with Microsoft 365 ecosystem Excellent stakeholder management and communication thrives in a fast paced product led workplace Skills Desired Business Networking Business Partners Calls Handling Contract Management Curiosity Decision Making Skills Finance Law Legal System Litigation Law Microsoft Office Proactivity Quality Control