Junior Transactional Attorney

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Junior Transactional Attorney based in India. As a Junior Transactional Attorney, you will apply your legal expertise to the development and evaluation of advanced artificial intelligence systems designed to support contract review and negotiation. This part-time, remote opportunity combines transactional law with emerging legal technology, allowing you to contribute to the improvement of AI-powered legal solutions. You will review commercial agreements, assess AI-generated legal responses, simulate contract negotiations, and identify potential risks or inconsistencies. Your analytical skills and practical understanding of contractual language will help improve the accuracy, reliability, and relevance of AI-generated legal guidance. Working alongside legal, product, engineering, and research professionals, you will help shape how AI systems interpret legal documents and support transactional workflows. This role is ideal for an early-career legal professional seeking to expand their expertise while contributing to innovation at the intersection of law and technology.

Contract drafting and redlining: Review commercial agreements, conduct contract redlining exercises, simulate negotiations, and recommend revisions that improve contractual clarity and protect relevant interests. AI response evaluation: Assess AI-generated responses to transactional legal scenarios for legal accuracy, relevance, completeness, consistency, and practical applicability. Legal quality assessment: Apply established evaluation frameworks, grading rubrics, and review criteria to measure the quality of AI performance on contract-related tasks. Contract risk identification: Identify ambiguous clauses, unfavorable contractual terms, risk allocation issues, potential compliance concerns, and other legal weaknesses, providing clear recommendations for improvement. Legal reasoning and feedback: Deliver structured, actionable feedback that helps improve AI systems' understanding of contractual language, legal principles, risk assessment, and negotiation strategies. Cross-functional collaboration: Work with legal, product, engineering, and research teams to refine training datasets, evaluation methodologies, and best practices for AI-powered contract analysis. Consistency and quality control: Ensure legal assessments are objective, detailed, consistent, and aligned with applicable legal standards and task-specific guidelines. Contract analysis: Evaluate documents such as Master Services Agreements (MSAs), Non-Disclosure Agreements (NDAs), and other commercial agreements, applying sound legal judgment to contractual provisions and obligations. Documentation and reporting: Clearly document legal assessments, identified risks, proposed revisions, and evaluation outcomes to support consistent AI training and performance improvement. Requirements One to three years of professional experience in transactional legal work, preferably within a corporate law firm or an in-house legal department. Foundational experience drafting, reviewing, negotiating, and redlining commercial agreements. Familiarity with common contractual documents, including Master Services Agreements (MSAs), Non-Disclosure Agreements (NDAs), and other commercial contracts. Strong understanding of contractual provisions, legal terminology, commercial risk allocation, negotiation principles, and contract interpretation. Demonstrated ability to identify contractual risks, assess ambiguous language, recognize unfavorable provisions, and recommend appropriate revisions. Strong legal research and analytical skills, with the ability to explain complex legal reasoning clearly and translate findings into actionable feedback. Excellent written and verbal communication skills, combined with exceptional attention to detail and a commitment to accuracy. Ability to evaluate legal documents objectively against defined criteria and maintain consistency across multiple assessments. Genuine interest in artificial intelligence, legal technology, and the application of AI to transactional legal practice. Ability to work independently, manage assignments effectively, and collaborate with multidisciplinary teams in a remote environment. Additional qualifications that would be advantageous: Previous exposure to legal AI products, legal technology platforms, or AI model training and evaluation projects. Internship or professional experience at a corporate law firm. Familiarity with mergers and acquisitions (M&A), fund formation, or other complex corporate transactions. Experience evaluating legal documents against structured review frameworks or standardized quality criteria. Exposure to technology-sector commercial agreements and technology-enabled legal workflows. Experience with legal data annotation, quality assessment, or contract negotiation support. Benefits Competitive compensation: Advertised compensation ranges from $70 to $90 per hour, subject to the applicable contractual and payment arrangements. Remote work: Work remotely, offering greater flexibility in managing your professional commitments. Part-time contractual engagement: Contribute your legal expertise through a flexible arrangement that can complement other professional activities, subject to the engagement terms. Legal technology exposure: Gain practical experience at the intersection of transactional law, artificial intelligence, and emerging legal technology. Impact on AI development: Help improve how AI systems interpret contracts, identify legal risks, and support transactional decision-making. Professional development: Strengthen your skills in contract analysis, legal reasoning, structured evaluation, and technology-enabled legal workflows. Cross-functional collaboration: Work with professionals across legal, product, engineering, and research disciplines. Transferable expertise: Develop experience in AI evaluation and legal quality assurance that may support future opportunities in legal innovation and technology.