Hogan Lovells

Hogan Lovells

Attorney Assistant

Boston · Full-time

Sponsorship not specified$69k-$101kDetected 19 days ago
Organizational SkillsMicrosoft Office

About the role

  • Hogan Lovells Cadwalader is seeking an experienced, full-time Assistant for our Boston office.
  • As a vital member of the team, this role is dedicated to delivering exceptional client service while enabling our attorneys to focus on client work.
  • Responds to customer/client requests promptly. - Identifies and responds to client issues and problems in a timely manner.

Responsibilities

  • The Assistant performs a broad range of essential administrative and organizational tasks, consistently producing high-quality work and providing outstanding support.

Requirements

  • Experience in a large law or professional services firm desirable.
  • Great organizational skills
  • Prioritizes workload appropriately.

Nice to have

  • Two (2) to five (5) years of administrative experience preferred.
  • Billing experience, including electronic billing, preferred.
  • Bachelor's degree preferred.

Skills

  • Forward-thinking and innovative.
  • Creative and efficient problem-solver.
  • Advanced knowledge of Microsoft Office Suite.
  • Ability to communicate effectively, both verbally and in writing, with lawyers, business services employees, and clients.
  • Demonstrates dedication to producing quality work product, with excellent attention to detail
  • Flexible attitude, with the ability to deal well with changing assignments.
  • Great organizational skills; Prioritizes workload appropriately.
  • Actively seeks to maximize productivity and promote teamwork.
  • Builds effective working relationships with colleagues and clients.
  • Understands the need to ask questions and seek guidance.
  • Seeks out and accepts new responsibilities, as well as development opportunities to enhance skills.

Compensation

  • Prepares annual and/or supplemental audit letter responses.

This listing is sourced directly from Hogan Lovells's careers page and normalized into a canonical job model.