Richmond L Summer Associate

Position: 2027 Richmond 2L Summer Associate
Location: Richmond

The Richmond office of Mc Guire Woods  is accepting applications for our 2027 2L summer associate program.

Our firm is committed to ensuring a smooth and flexible 2L summer application process. Applications will be reviewed on a rolling basis with the majority of interviews conducted in January 2026. We will work with candidates to arrange interviews at convenient times and will offer virtual options to accommodate individual needs.¾As an international law firm with 21 offices, Mc Guire Woods  is a great place to launch your career.

We hire top performers with strong academic credentials and experience who are dedicated to client service, teamwork and excellence. In turn, we deliver a rewarding, supportive firm culture focused on your success, growth and development. Mc Guire Woods  is proud of its summer associate program. As a summer associate, you have the resources and training to develop professionally and perform challenging, sophisticated work early on regardless of your office location - rare opportunities not offered at most other firms.

Each summer associate is assigned a supervisor and mentor who introduces them to lawyers in their office and across the firm. Summer associates choose the projects they want to work on based on their practice area interests and they have opportunities to collaborate with Mc Guire Woods  lawyers across the country. Summer associates attend client meetings, depositions, corporate closings, trials and appellate arguments.

They also prepare research memoranda and draft pleadings, briefs and corporate transaction documents. In addition, summer associates are involved in: special training opportunities;social events and networking;a firmwide summer associate retreat; andour Pro Bono Mentor Program offering an opportunity to work on a pro bono matter for a client. Our Applicant Disclosures describe your rights. Our Privacy Statement describes how we will process and safeguard your personal data.