· Manage the intake process for AI-enabled legal production requests, translating requests into clearly documented assignments with defined scope, intended use, source requirements, participants, timelines, dependencies, deliverables, and commercial considerations.
· Coordinate Legal AI Operators, Evidence Operations, case team members, validators, responsible attorneys, and other contributors throughout the assignment lifecycle while maintaining appropriate roles, responsibilities, decision rights, and attorney oversight.
· Manage the active portfolio of AI-enabled legal assignments, including capacity, prioritization, deadlines, dependencies, handoffs, delivery commitments, refresh requests, exceptions, and escalations.
· Maintain the product and assignment pipeline and provide visibility into demand, status, forecast, repeat use, adoption, delivery history, and emerging operational needs.
· Partner with Pricing, Finance, Billing, and matter teams to support consistent quoting, matter setup, measurement, and billing processes and ensure appropriate follow-through on required commercial and financial activities.
· Maintain complete and accurate operational records, including source boundaries, workflow status, validation, responsible-attorney acceptance, release, delivery, refresh, and supersession documentation.
· Track and analyze operational performance, including effort, cycle time, defects, remediation, variance, capacity, and lessons learned, and translate findings into improvements to products, workflows, procedures, and service delivery.
· Develop and maintain concise dashboards and management reporting that provide program leadership and Firm management with visibility into demand, capacity, delivery, adoption, operational performance, exceptions, and unresolved decisions.
· Support adoption of the Firm’s AI-enabled legal production capabilities by helping partners and case teams identify appropriate uses, understand available services, and effectively navigate intake, execution, and delivery processes.
· Maintain accurate participation and utilization records to support Firm reporting, program evaluation, and applicable recognition processes.
· Develop, document, implement, and continuously improve operating procedures, service standards, workflows, escalation paths, controls, and cross-functional responsibilities as the Legal AI program evolves and expands.
· Establish clear ownership, deadlines, dependencies, and status visibility across active assignments to promote accountability and timely delivery.
· Facilitate consistent handoffs among pricing, matter setup, production, validation, responsible-attorney acceptance, delivery, and billing processes, ensuring that required documentation is complete and appropriate stakeholders are engaged.
· Identify operational risks, gaps, bottlenecks, and unresolved decisions and coordinate appropriate escalation and resolution.
· Use insights and lessons learned from completed assignments to drive measurable improvements in service delivery, procedures, training, workflows, and future AI-enabled legal products.