Transactional Attorney at AquSag Technologies | Torre

Transactional Attorney

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Freelance
Recurrent
Compensation
USD90 - 130/hour
Negotiable
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Remote (for United States residents)
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Visa sponsorship: To be discussed/negotiated
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Posted 4 days ago

Requirements and responsibilities


Job Summary: - We are seeking seasoned in-house transactional attorneys for a part-time role at the forefront of legal AI. - This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work. - We are looking for candidates who have deep experience with drafting, reviewing, negotiating, and redlining within the tech field. - In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. - Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment. Key Responsibilities: - Perform simulated contract negotiations and redlining exercises. - Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision. - Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency. - Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: - J.D. from an ABA-accredited law school. - Active bar admission in at least one U.S. jurisdiction. - Minimum of 3 years of in-house experience focused on technology transactions, particularly negotiating MSAs, NDAs, and DPAs. - Exceptional written and verbal communication skills with meticulous attention to detail. - Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems. - Demonstrated commitment to innovation at the intersection of law and technology. - Experience working with cross-disciplinary teams in fast-paced environments. Preferred Qualifications: - Prior exposure to AI, legal tech, or training initiatives. - Experience at a corporate law firm in either M&A or fund formation for private equity firms.
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