[Hiring] Junior Transactional Attorney @24-MAG

Role Description

We are sharing a specialised part-time consulting opportunity for early-career Transactional Attorneys with foundational experience in contract drafting, negotiation, redlining, and commercial legal review to contribute to an advanced legal AI training and contract-evaluation project. Selected professionals will review contract workflows, perform simulated negotiations and redlining exercises, assess AI-generated legal responses, and apply structured evaluation criteria to transactional legal tasks. The opportunity is particularly suited to junior attorneys seeking to apply their developing legal expertise within technology-focused contract work and interdisciplinary research environments.

Key Responsibilities

• Contract Drafting & Review
  • Review and analyse commercial and transactional agreements
  • Assess contractual language for clarity, consistency, and legal accuracy
  • Identify potential ambiguities, drafting weaknesses, and contractual risks
  • Apply foundational transactional judgement to realistic legal scenarios
  • Support structured review of technology-focused agreements
• Contract Negotiation & Redlining
  • Perform simulated contract negotiations and redlining exercises
  • Review proposed revisions and alternative drafting positions
  • Assess the legal and commercial implications of contract changes
  • Refine language to improve clarity and precision
  • Apply practical negotiation principles across iterative contract workflows
• AI Contract Evaluation
  • Review AI-generated responses to transactional legal scenarios
  • Assess drafting quality, legal reasoning, and issue identification
  • Identify inaccurate interpretations or unsupported conclusions
  • Evaluate whether suggested revisions appropriately address contractual concerns
  • Provide clear feedback supporting improvements in model performance
• Evaluation Frameworks & Grading
  • Apply objective evaluation frameworks to contract-related tasks
  • Use defined grading criteria to assess AI-generated legal work
  • Evaluate outputs consistently across repeated assignments
  • Document why responses are accurate, incomplete, or incorrect
  • Support refinement of evaluation standards and review methodologies
• Legal Collaboration & Quality
  • Collaborate with product, research, and interdisciplinary teams
  • Translate legal knowledge into clear and actionable feedback
  • Help refine datasets, guidelines, and contract-review workflows
  • Communicate legal concepts clearly across technical and non-legal audiences
  • Maintain strong attention to detail throughout evaluation work

Qualifications

• 1–3 years of transactional legal experience
• Experience may come from an in-house legal team, law firm, or comparable environment
• Foundational experience with commercial or technology transactions
• Exposure to agreements such as MSAs and NDAs
• Familiarity with contract drafting, negotiation, and redlining
• Knowledge of LPAs, ISDAs, or related transactional documents is beneficial
• Strong analytical and issue-spotting capabilities
• Excellent written and verbal communication skills
• Meticulous attention to detail
• Ability to translate legal knowledge into structured evaluation feedback
• Demonstrated interest in the intersection of law and technology
• Comfortable working with cross-disciplinary teams in fast-paced environments
• Corporate law firm experience or internship experience is advantageous
• Exposure to M&A or fund-formation work is beneficial
• Prior experience with AI, legal technology, or related training initiatives is advantageous but not required

Engagement Details

• Part-time independent contractor engagement
• Fully remote
• Compensation: $70–$90/hour
• Work will involve contract review, negotiation simulations, redlining, AI-output evaluation, and application of structured legal-evaluation criteria
• Assignments may involve MSAs, NDAs, LPAs, ISDAs, and related transactional documentation
• Foundational transactional-law experience is central to this engagement
• The role is designed for early-career attorneys with approximately 1–3 years of relevant experience
• Project scope, workload, contract types, and evaluation standards may evolve depending on project requirements
• Prior AI experience is not required
• Work must be completed without using confidential or privileged information belonging to any employer, client, company, law firm, institution, or other third party