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Technology & IP Counsel

Liberty Mutual

IT, Legal

Boston, MA, USA

USD 136k-253k / year

Posted on May 19, 2026

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Technology & IP Counsel

Job Locations US-MA-Boston | US-Remote | US-NH-Portsmouth

ID: 2026-75389
Position Type: Full-Time
Job Grade: 94
Department: 0001-03490 Technology Legal
Market: Corporate Center
Minimum Salary: USD $136,000.00/Yr.
Maximum Salary: USD $253,000.00/Yr.
Typical Starting Salary: 179,801-218,000
Travel: 10%
Recruiter: Oksana Zinchenko
Internal Application Deadline: 6/5/26
Referral Bonus Eligible?: No

Description

This role sits at the intersection of IP law, enterprise technology, AI governance, and data security — serving a Fortune 100 insurer across all 50 states and multiple international jurisdictions. High-visibility. High-impact. Direct line to the Chief Technology Counsel.

Typical starting salary is: $179,801-$218,000

Responsibilities:

Negotiate and draft complex technology agreements: software licenses, SaaS, API access, data licenses, and open-source compliance frameworks
Advise on software license scope and restrictions in connection with AI and automation initiatives across core insurance platforms
Review vendor contracts against LMIC negotiation playbooks; identify and escalate high-risk deviations
Provide practical, commercial legal counsel on trademark, marketing, and IP strategy matters
Anticipate emerging legal issues and drive proactive risk mitigation across the technology practice
Direct and review work of law clerks and paralegals as needed
Serve as legal counsel to the Responsible AI (RAI) Committee — advising on pilot parameters, excluded use cases, access controls, and written determinations for AI/ML deployments

Qualifications

Completion of law school with a J.D. or L.L.B. degree and admission to the bar of at least one jurisdiction in the United States required.
Generally requires at least six years` experience as a practicing attorney.
Technology transactions & IP law experience
Strong commercial negotiation skills
Excellent written and oral communication
Ability to manage multiple priorities independently
In-house experience at a regulated industry (insurance, financial services, healthcare)
AI/ML governance or responsible AI advisory experience
Familiarity with open-source licensing (GPL, Apache, MIT frameworks)
Multi-jurisdictional technology regulatory experience
Data privacy law background (CCPA, GDPR, state insurance data rules)
Technical undergraduate degree or software/engineering background