Legal Technology & Ai Innovation Specialist

Legal Help in Colorado (LHIC) is a two-Denver-area plaintiff-side law firm under common ownership, with a combined team of roughly 20 attorneys and staff. We practice personal injury and landlord-tenant/warranty of habitability law across Colorado state and federal courts.We are creating a new role for a driven, independent technology professional who will own the entire digital transformation of both practices. You will assess our existing stack, eliminate manual bottlenecks, integrate AI-powered workflows, and build the infrastructure that lets our legal team focus on lawyering instead of administration.Whether you’re early in your career or making a pivot from a related field, what matters is what you’ve built. Maybe you automated a workflow with a Python script, wired together a Zapier flow that saved your last employer hours a week, or built a chatbot with an LLM API. You are not intimidated by a messy technology stack. You enjoy diagnosing problems, mapping processes, and building clean solutions. You understand that in a law firm, precision and confidentiality matter as much as speed. You want ownership, not just assignments.This is a ground-floor opportunity. You will have direct access to firm leadership, meaningful autonomy, and the chance to build something real.You will be inheriting and building on the following:AI-Tools: Claude Enterprise, SupioCase management: Filevine, HonaCommunications office productivity: Microsoft 365 (Outlook, SharePoint, OneDrive, Teams)Cloud Tech: SharePoint, DropboxCollaboration: SlackPhone: RingCentralAccounting: QuickBooksLead intake: Lawyer.com, CallRailE-filing: Colorado Courts E-Filing (CCEF/JBITS), Colorado Federal Courts CM/ECF (Case Management/Electronic Case Files)Document Creation and Management: Adobe, Microsoft 365If you are interested in the role, please submit your resume and a short cover letter (two to three paragraphs). In your note, tell us: (1) one specific automation or AI tool you have built or deployed and what problem it solved, and (2) which part of our stack you would dig into first and why.Compensation: $100,000 - $120,000 per year, depending on experience, with bonus potential tied to project outcomes.