Legal Practice Analyst (Fully remote in Dykema Office Locations)

Dykema•Detroit, MI

12d•Remote

About The Position

Dykema Gossett, PLLC is recruiting an early-career Legal Practice Analyst for its Knowledge & Innovation team. The role focuses on transactional practice across M&A/corporate and real estate matters and combines legal practice knowledge with AI-driven innovation. It is fully remote and open to candidates in all Dykema office locations. Occasional travel is required. The analyst contributes to the firm’s AI-first technology strategy by researching and evaluating legal technology, assessing tools through the lens of transactional workflows, and making recommendations to firm leadership and attorneys. The role also supports attorney training and technology adoption, gathers user feedback, and participates in implementation projects from evaluation through rollout. The position is not a traditional attorney track and offers exposure to strategy-level discussions and influence over the evolution of transactional practices through technology.

Requirements

Minimum 1–2 years of legal experience in M&A, corporate transactions, real estate, or a closely related area, in a law firm, in-house, or government setting.
Strong working knowledge of transactional concepts, including deal structure, due diligence, contract negotiation, closing mechanics, and related documentation.
Genuine interest in legal technology and AI, including willingness to follow developments and help shape the firm’s use of these technologies.
Ability to communicate complex technical concepts clearly and credibly to non-technical audiences, particularly attorneys.
Strong written and verbal communication skills and ability to produce polished deliverables independently.
High proficiency with Microsoft Office.
Comfort with legal research platforms such as Westlaw, Lexis, or equivalent.
Ability to manage competing priorities, communicate proactively, and work effectively across teams.
Occasional travel is required.

Nice To Haves

JD from an ABA-accredited law school; the posting states it is preferred but not required, and candidates without a JD may be considered if they have substantial transactional legal experience.
Hands-on experience with AI-assisted legal tools, such as contract review platforms, due diligence tools, or generative AI applications in legal contexts.
Experience in knowledge management, legal operations, practice innovation, or legal technology in a law firm or legal department.
Familiarity with adult learning principles or formal training design, or experience delivering technology training to professional audiences.
Comfort with structured evaluation frameworks, vendor management processes, or technology procurement.
Familiarity with pricing, alternative fee arrangements, or project management frameworks in a legal context.

Responsibilities

Research the legal technology landscape, evaluate tools, and recommend technologies to adopt, pilot, or deprioritize.
Assess AI and technology solutions for M&A and real estate workflows, including due diligence, contract analysis, deal management, and closing processes.
Test new tools, assess output quality and limitations, and prepare written assessments for leadership and attorney decision-makers.
Partner with the Manager, Process Innovation and the CKIO on technology roadmap planning and prioritization.
Design and deliver practical, workflow-integrated training programs that help attorneys use new technology effectively.
Support attorneys during tool rollouts by answering questions, troubleshooting adoption challenges, and escalating issues as appropriate.
Develop implementation materials such as quick reference guides, workflow documentation, and adoption trackers.
Gather and synthesize attorney feedback on tool performance and usability, and translate it into actionable input for vendors and internal stakeholders.
Support change management by building relationships with attorney champions across transactional practice groups.
Contribute legal and practice-specific expertise to tool configuration, testing, and launch phases.
Track implementation milestones, document decisions, and maintain organized project records.