Remote | Corporate Counsel

We are sharing a specialised part-time consulting opportunity for experienced in-house Corporate Counsel with strong expertise in technology transactions, contract drafting, redlining, negotiation, legal playbooks, and commercial agreement review to contribute to an advanced legal AI training and evaluation project.

Selected professionals will perform simulated contract negotiations, review AI-generated responses to contract scenarios, develop rigorous evaluation criteria, and provide expert legal feedback to improve how advanced AI systems identify contractual risk, interpret language, and support real-world in-house legal workflows.

• Review sophisticated technology and commercial agreements
• Analyse contractual provisions for legal, operational, and commercial risk
• Apply practical in-house judgement to technology-transaction scenarios
• Identify ambiguous, inconsistent, or commercially problematic terms
• Evaluate whether proposed provisions appropriately reflect business and legal objectives

• Draft and revise contractual provisions
• Perform simulated redlining exercises across technology agreements
• Develop commercially appropriate revisions to contract language
• Apply established legal playbooks and negotiation positions
• Maintain consistency across related provisions and contractual structures

• Conduct simulated negotiations involving MSAs, NDAs, DPAs, and related agreements
• Evaluate counter party revisions and alternative drafting proposals
• Identify material negotiation points, escalation issues, and fallback positions
• Balance legal protection with commercial practicality
• Apply in-house legal judgement to fast-moving business scenarios

• Review AI-generated responses to contract scenarios
• Assess outputs for legal accuracy, completeness, and practical usefulness
• Identify missed risks, inappropriate redlines, or weak legal reasoning
• Provide structured expert feedback to improve model performance
• Evaluate whether AI outputs reflect realistic in-house counsel standards

• Create objective grading criteria for contract-related AI tasks
• Develop repeatable standards for evaluating drafting, negotiation, and redlining quality
• Translate practical legal judgement into structured evaluation frameworks
• Apply grading criteria consistently across model outputs
• Refine evaluation methods as project requirements evolve

• Collaborate with product, research, and technical teams
• Help refine data, guidelines, and best practices for AI-driven contract review
• Communicate complex legal reasoning clearly to non-legal stakeholders
• Contribute in-house legal perspective to multidisciplinary project work
• Support iterative improvements to legal AI workflows and training materials

• Minimum 3 years of in-house legal experience focused on technology transactions
• Strong experience negotiating MSAs, NDAs, and DPAs
• Demonstrated expertise in contract drafting, redlining, and negotiation
• Familiarity with legal playbooks and structured contracting standards
• Exceptional written and verbal communication skills
• Meticulous attention to detail and strong analytical judgement
• Ability to translate legal expertise into clear, actionable feedback
• Experience working with cross-disciplinary teams in fast-paced environments
• Prior exposure to AI, legal technology, or training initiatives is advantageous
• Experience at a corporate law firm involving M&A or private-equity fund formation is beneficial
• Strong understanding of the practical requirements of an in-house legal function

• Part-time independent contractor engagement
• Fully remote
• Displayed compensation range: $100-$130/hour
• Actual compensation structure is task-based, with payment made per completed task that meets project specifications
• Average handling time (AHT): approximately 3.5 hours per task
• Effective hourly compensation will depend on the number of completed tasks that are successfully signed off
• Work will involve technology-contract drafting, redlining, negotiation, playbook application, AI-output evaluation, and rubric development
• Strong in-house experience with MSAs, NDAs, DPAs, and related technology agreements is central to this engagement
• Assignments may include simulated negotiations, contract-review exercises, grading criteria, and structured feedback on AI-generated legal outputs
• Project scope, workload, transaction scenarios, and…