Mid-level Trusts and Estates Associate Attorney

A law firm in Danbury, CT, is actively seeking a Mid-level Trusts and Estates Associate Attorney with a preference for candidates with 3+ years of experience. The firm offers a supportive environment and comprehensive benefits, including a 401(k) retirement plan, contributions to health and dental plans, subsidized gym membership, and disability coverage.

Duties:

• Advise clients on trusts and estate planning matters.
• Draft wills, trusts, and other estate planning documents.
• Handle probate and estate administration proceedings.
• Provide legal guidance on estate and gift tax planning.
• Assist clients in creating and managing charitable trusts.
• Collaborate with clients and financial planners to develop comprehensive estate plans.
• Stay informed about changes in relevant laws and regulations.

Requirements:

• Juris Doctor (J.D.) degree from an accredited law school.
• Admitted to the Connecticut State Bar.
• Preferably 3+ years of experience in trusts and estates law.
• Strong knowledge of estate planning techniques and strategies.
• Excellent research, writing, and analytical skills.

Certifications:

• Admission to the Connecticut State Bar.

Skills:

• In-depth understanding of trusts and estates law.
• Strong client communication and interpersonal skills.
• A detail-oriented and organized approach to legal work.
• Ability to manage and prioritize multiple tasks efficiently.
• Collaborative team player.
• Familiarity with estate and gift tax planning.
• Continuous learning and commitment to professional development.

Benefits:

• 401(k) retirement plan.
• Contributions to health and dental plans.
• Subsidized gym membership.
• Disability coverage.

This firm specializes in the practice areas of Business Law, Estate Planning and Probate, Real Estate, Tax Law, Employment Law, Elder Law, Local Counsel, and Litigation. Representing individuals and businesses, the team of professionals has many years of experience with forward-thinking perspectives and strives to find the optimal solution for each unique situation.