Practice & Innovation Attorney - Asset Management

Responsibilities

• Report to the Global Director of Market Intelligence and Practice Innovation for AMD and help oversee the end-to-end lifecycle of knowledge and data assets for the department.
• Verify the accuracy and completeness of data extracted by AI solutions and resolve discrepancies.
• Design, test and iterate generative AI prompts tailored to asset management-specific use cases.
• Create scalable workflows for high-volume processes, including standardized playbooks, decision trees, exception pathways and escalation criteria and assist in the implementation thereof.
• Curate and maintain clause banks, exemplar document sets, issues lists and deal point databases.
• Oversee the maintenance of matter trackers and experience databases.
• Deliver scheduled and ad hoc trainings for lawyers and staff on knowledge tools, data standards, AI usage guidelines and workflow best practices, while also preparing quick-reference guides.
• Respond to practitioner inquiries by locating precedent and surfacing curated resources.
• Where appropriate and aligned with client matters, take on billable assignments that leverage subject-matter and data expertise, including term benchmarking, surveys and fund reviews.
• Perform additional tasks as needed.

Qualifications

• At least four years of experience in the asset management space, either with private investment funds and fund formation, registered funds or exposure to both.
• J.D. and admission to at least one state bar preferred but not required.
• Familiarity with core private fund documents, side letters and subscription agreements, as well as common LP issues, regulatory touchpoints and market terms.
• Proven experience with knowledge management, data structuring or technology-enabled legal processes, including precedent curation, playbook development and experience or deal point tracking.
• Facility with legal technology and research tools, together with the ability to translate practitioner needs into structured requirements and test cases.
• Familiarity with generative AI, including prompt engineering concepts and a genuine curiosity and desire to learn and experiment with these tools.
• Strong drafting, analytical and communication skills.
• Exceptional attention to detail and sound business judgment.
• Ability to manage competing timelines in a fast-paced environment.
• Self-motivated with the ability to maintain confidentiality and a client-service mindset at all times.