Drimva

Accenture

Product, IP, and AI Counsel

$131K–$277K

Arlington, VA +1 · Full-time · Posted May 21, 2026

Location
Arlington, VA
Arlington, Virginia, United States
Experience
Minimum 5 years; strong candidates have 5 to 10 years or more in relevant areas.
Education
Juris Doctor (JD) degree from an accredited law school.
Visa sponsorship
Applicants must have U.S. work authorization that does not now or in the future require visa sponsorship.

About the job

Advises Accenture Federal Services on the creation, commercialization, deployment, and governance of technology, including intellectual property, data rights, software, and AI.

What you'll do

  • Advise on IP, federal data rights, AI, open-source software, and secure software development requirements and risks.
  • Draft and negotiate contracts, terms of use, and templates for software, SaaS, managed services, licensing, and technology partnerships.
  • Partner with cross-functional teams on commercialization, technology integration, responsible AI, and risk assessments.

What they ask for

  • U.S. citizenship.
  • Juris Doctor (JD) degree from an accredited law school and active state bar membership; Virginia counsel certification or in-house registration is required if not a Virginia State Bar member.
  • At least 5 years of legal experience concentrated in IP, software or cloud service product counseling, AI, and/or government contracting.
  • Deep subject matter expertise in IP, data rights, and contracting.

Nice to have

  • 5 to 10 years or more of relevant technology transactions, IP, data rights, or data governance experience focused on U.S. federal business.
  • Experience applying federal acquisition regulations, including FAR and DFARS, or rules on Controlled Unclassified Information (CUI).

Pay

$131,200 — $276,800 USD (base pay)

Tools

cloud services, managed services, software, SaaS, open-source software, FAR, DFARS, CUI

AI focus

Advises on AI-related legal requirements and governance, leads responsible AI efforts, and develops mitigation strategies and periodic risk assessments.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 6, 2026 (UTC)