Practice Innovation Attorney

Lowenstein Sandler•Roseland, NJ

2d•$200,000 - $250,000•Hybrid

About The Position

Lowenstein Sandler is seeking a Practice Innovation Attorney whose primary focus is equipping attorneys with the skills, tools, and workflows to excel in an AI-enabled legal environment. This is a hands-on, attorney-facing role centered on building and delivering training programs, designing AI-augmented workflows, and embedding generative AI tools into the day-to-day practice of law. The Practice Innovation Attorney serves as the firm’s primary internal resource for attorney AI literacy and adoption—a credible peer who can translate cutting-edge technology into practical, practice-specific guidance. 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 bar admission (any U.S. jurisdiction).
3–5+ years of substantive legal practice experience, with exposure to transactional and/or litigation matters.
Demonstrated experience designing and delivering training programs, whether for AI tools, legal technology, or complex legal concepts—in a law firm or legal operations context.
Hands-on experience with generative AI tools (Harvey, Copilot, ChatGPT, Claude, or similar), including practical application to legal tasks.
Strong project management skills with the ability to advance multiple workstreams simultaneously and drive initiatives from concept through adoption.
Exceptional communication and teaching skills—able to translate complex AI concepts into clear, accessible guidance for attorney audiences at all experience levels.
Deep understanding of legal workflows and the practical realities of law firm practice.

Nice To Haves

Prompt engineering experience. Including designing, testing, and refining prompts and multi-step AI workflows for specific legal use cases.
Background in legal knowledge management, curriculum design, or adult learning methodology.
Familiarity with legal technology platforms including iManage, Aderant, contract review/automation tools, and data analytics platforms.
Ability to build trusted, collegial relationships across practice groups and business services—influencing through credibility and responsiveness, not mandate.
Genuine curiosity about the future of legal practice, with a habit of staying current on emerging AI and legal technology developments.

Responsibilities

Design, build, and deliver comprehensive AI training programs tailored to specific practice groups—including corporate, transactional, bankruptcy, and litigation—covering tools, prompting strategies, and AI-assisted workflows.
Develop and maintain an evolving curriculum of hands-on workshops, one-on-one coaching sessions, and self-guided learning materials (video tutorials, quick-reference guides, prompt libraries) that meet attorneys at every level of AI fluency.
Serve as the firm’s go-to resource for attorneys learning to work with generative AI tools including Harvey AI, Microsoft Copilot, and Claude—translating capabilities into practical, practice-specific applications.
Create onboarding AI training tracks for associates, lateral hires, and summer associates; ensure training materials stay current as tools and firm policies evolve.
Develop CLE-eligible training content and coordinate accreditation for qualifying programs.
Track adoption metrics, identify barriers, and continuously iterate on training content and delivery based on attorney feedback and usage data.
Partner with practice group leaders and attorneys to map existing workflows and identify high-impact opportunities to embed AI tools, document automation, and data analytics.
Design, test, and refine AI prompts and multi-step workflows tailored to specific legal tasks—contract review, due diligence, legal research, drafting, and matter intake.
Lead proof-of-concept pilots from scoping through rollout, translating attorney needs into scalable, sustainable workflow changes.
Build and maintain a firm-wide prompt library and workflow playbook, codifying best practices for AI-assisted legal work across practice areas.
Define success metrics, adoption benchmarks, and feedback loops to evaluate AI implementations and drive continuous improvement.
Collaborate with IT and Knowledge Management to integrate AI tools with existing firm systems (iManage, Aderant, Harvey, and others), reducing friction and supporting seamless adoption.
Develop and curate practice-specific knowledge assets—clause banks, template libraries, matter playbooks, and decision trees—that standardize work product and surface institutional knowledge.
Collaborate with Knowledge Management and data teams to activate the firm’s data lake and structured matter data in support of AI-assisted research and drafting.
Identify and champion opportunities to use AI to surface relevant precedent, automate routine tasks, and elevate the quality and consistency of attorney work product.
Support the development and communication of AI usage guidelines, acceptable use policies, and quality assurance processes aligned with ABA professional responsibility standards.
Serve as a resource for attorneys navigating questions about AI accuracy, supervision obligations (ABA Rules 5.1/5.3), and candor to courts in AI-assisted work.
Monitor developments in legal AI, ethics guidance, and regulatory frameworks—providing timely, well-grounded guidance to firm leadership and practice groups.
Maintain relationships with AI and legal technology vendors—including Harvey, Microsoft, and others—to maximize tool value, inform roadmap feedback, and stay ahead of product developments.
Evaluate emerging legal AI tools, participate in vendor pilots, and make recommendations on strategic adoption opportunities.