• Define and own the product vision, roadmap, and lifecycle for technology solutions supporting Litigation Consulting. • Align product initiatives with business objectives, revenue goals, and client experience strategy. • Identify opportunities for automation, AI integration, workflow optimization, and data enablement within consulting operations. • Partner closely with litigation consultants, expert witnesses, jury research teams, and trial strategists to capture operational requirements and domain-specific needs. • Translate qualitative consulting insights into structured product requirements, user stories, and technical specifications. • Serve as the authoritative product voice between business stakeholders and engineering teams. • Lead discovery, prioritization, and roadmap planning processes. • Define acceptance criteria and ensure delivered solutions meet business and compliance requirements. • Collaborate with engineering leadership on architecture decisions, trade-offs, and scalability considerations. • Drive iterative development through Agile or hybrid methodologies. • Identify and deploy AI-driven solutions to enhance research synthesis, data analysis, document workflows, visualization tools, and reporting. • Partner with data and AI teams to operationalize machine learning or automation within consulting workflows. • Ensure responsible AI use aligned with legal and ethical standards. • Translate client feedback and case-specific demands into product improvements. • Ensure solutions support high-stakes litigation environments, including data security, confidentiality, and performance under deadline pressure. • Elevate digital client experience across consulting deliverables. • Define KPIs and success metrics for product adoption, efficiency gains, and revenue impact. • Monitor usage data and drive continuous improvement initiatives. • Develop scalable processes that reduce manual overhead while preserving consulting excellence.