Knowledge and Innovation Attorney

Lowenstein Sandler•Roseland, NJ

4d•Hybrid

About The Position

Lowenstein Sandler is seeking a Knowledge and Innovation Attorney to help shape how legal work gets done at the firm. The role has a dual mandate: capture the firm’s know-how and turn it into precedents, practice tools, and structured, AI-ready data; and partner with attorneys to design and embed AI-enabled tools and workflows into daily practice. Reporting to the Director of Knowledge Management and Research, you will work across the firm’s transactional or bankruptcy and litigation practices to decide what knowledge is worth preserving, route it into the firm’s knowledge systems and data lake, and activate it through AI-assisted research and drafting. A trusted peer to practicing attorneys, the person in this role is a cornerstone of the firm’s Vision 2030 AI and data transformation initiative.

Requirements

J.D. from an accredited law school and active U.S. bar admission (any jurisdiction).
3–5+ years of substantive practice experience at a large law firm (transactional, bankruptcy, and/or litigation).
Excellent drafting skills and the judgment to recognize which precedents, provisions, and data points carry lasting value.
Experience with legal technology, AI tools, or innovation initiatives, and a practical understanding of law firm workflows and operations.
Strong project management skills, with the ability to advance multiple workstreams through to adoption.
Exceptional communication skills – distilling complex matters into clear, reusable knowledge and translating technical concepts for attorney audiences.

Nice To Haves

Prior experience as a knowledge management or practice innovation attorney, professional support lawyer, or comparable role.
Familiarity with knowledge and experience management platforms, data lakes and analytics, and document automation.
Hands-on experience with generative AI tools (Harvey, Copilot, Claude, or similar), including prompt engineering and tool evaluation.
Builds trusted partnerships across practice groups and business services, influencing through credibility and responsiveness, not mandate.

Responsibilities

Identify high-value precedent, work product, and matter data across the firm’s practices and route it into the firm’s knowledge systems and data lake.
Debrief matter teams to harvest know-how, negotiated positions, market terms, and lessons learned.
Distill negotiated documents into model forms, annotated precedents, clause banks, playbooks, and decision trees, and keep those assets current.
Partner with practice group leaders to surface opportunities to improve workflows, quality, and client value; evaluate, pilot, and scale legal technologies from scoping through rollout.
Design, test, and refine AI prompts and workflows for specific legal use cases, contributing to a firm-wide prompt library and workflow playbook.
Embed AI tools – Harvey, Microsoft Copilot, and others – into day-to-day legal work, integrated with firm systems including iManage and Aderant.
Support AI governance frameworks, usage guidelines, and quality assurance, and provide well-grounded recommendations on emerging legal AI.
Deliver training, user guides, and adoption strategies for AI tools and knowledge resources; serve as a credible, approachable resource for attorneys navigating new tools.
Partner with practice leaders to set knowledge priorities and drive adoption across the firm.
Act as a bridge among attorneys, IT, Knowledge Management, innovation leadership, and vendors.