Remote BigLaw Lawyer — AI Legal Analysis & QA

Appsierra Group; Österreich; Remote; EUR 286,000 - 476,000; Part time

Job summary

Appsierra Group is seeking an experienced U.S. BigLaw lawyer to work on an AI-focused project as a remote contractor. The role covers litigation, corporate, and M&A matters, requiring high-precision analysis and drafting for sophisticated matters.

You'll collaborate with multidisciplinary teams, review and evaluate legal content, and deliver high-quality memoranda, contracts, and opinions. Active bar license in the U.S. and top-tier BigLaw training are preferred.

Qualifications

• Must hold an active U.S. law license.
• Experience at Vault Law 100 firms.
• Strong research, analysis, and drafting skills.
• Experience in Litigation, Corporate, M&A or related sophisticated practice.

Responsibilities

• Conduct detailed legal analysis across a range of U.S. law topics.
• Perform legal research and apply current, accurate authorities.
• Draft, review, and edit legal memoranda, opinions, contracts, and related materials.
• Evaluate legal content for accuracy, clarity, completeness, and consistency.
• Provide structured feedback using established evaluation criteria.
• Identify errors, ambiguities, inconsistencies, and potential issues in legal materials.
• Work remotely with multidisciplinary teams on complex legal scenarios.
• Maintain a high standard of precision and quality across all deliverables.

Skills

Legal research

Drafting

Analytical thinking

Communication

Attention to detail

Education

Active U.S. law license

Job description

Appsierra Group is seeking an experienced U.S. BigLaw lawyer to work on an AI-focused project as a remote contractor. The role covers litigation, corporate, and M&A matters, requiring high-precision analysis and drafting for sophisticated matters.

You'll collaborate with multidisciplinary teams, review and evaluate legal content, and deliver high-quality memoranda, contracts, and opinions. Active bar license in the U.S. and top-tier BigLaw training are preferred.