Suggested rewrite: Led a cross-functional initiative that improved [business outcome] by [measurable result], demonstrating experience relevant to this role...
Strategic Project Lead – Legal
- Remote from
- USA
- Salary
- Undisclosed
- Department
- Legal & Compliance
- Employment
- Full Time
- Experience
- Senior
- Published
- Apply before
- 6 Dec 2026
- Listing views
- 21
- Application actions
- 1
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About this role.
Appen’s Strategic Project Management team is central to the company’s growth strategy, partnering with leading AI companies and frontier model developers to deliver the data that makes models work. As Strategic Project Lead – Legal, you will run strategic legal pilots and research projects for legal AI model training and evaluation, from initial scoping through to operationalization. This is a hands-on role bridging customer objectives, legal expertise, and Appen’s global delivery capability.
Your Impact
You will own the success of frontier legal AI pilots, taking emerging use cases to validate projects that meet defined standards for legal quality, feasibility, and cost.
Your judgement will shape how case law, contracts, statutes, regulatory filings, and legal reasoning are used for model training and evaluation, with appropriate consideration for privilege, confidentiality, and jurisdictional requirements.
Across Appen’s global delivery organization, you’ll establish the workflows, expert requirements, quality standards, and operational blueprint needed to move successful pilots into scalable programs.
Success in this role will create legal AI pilots that meet their defined success criteria, trusted partnerships with Researchers and Customers, and proven approaches that can be operationalized across future legal programs.
What You Bring
- JD or equivalent law degree, with 2+ years in private practice, in-house, legal research, or regulatory and compliance work.
- 2+ years leading complex projects, operational workflows, or subject-matter initiatives.
- Strong communication and stakeholder-management skills when working with attorneys, legal experts, researchers, and customers.
- Comfortable working in a fast-paced environment.
Nice to Have
- Experience working with AI/ML companies, AI labs, or data annotation and evaluation projects.
- Experience managing legal, technical, or data-intensive projects.
- Familiarity with legal research, contract analysis, litigation, regulatory/compliance work, or other complex legal workflows.
Why You’ll Love Working Here
At Appen, we foster a culture of innovation, collaboration, and excellence. We value curiosity, accountability, and a commitment to delivering the highest quality AI solutions for frontier models.
You’ll work on complex challenges that shape the future of AI across industries and geographies, alongside talented people in a culture that values humility over ego. You’ll have the flexibility to deliver in a way that works for you and your team, supported by tools, resources, and development opportunities to continue to build your capability over time.
About Appen
Appen has been a leader in AI training data for over 30 years. We specialise in human generated data to train, fine tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition. Our AI assisted data annotation platform and global crowd of more than 1 million contributors in over 200 countries support model pre training, supervised fine tuning, evaluation and benchmarking, safety and red teaming, and multilingual global expansion.
Compensation
Additional Information
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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Role DNA
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Core skills
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Sample interview questions
I would first clarify the target use case, intended model behavior, success metrics, jurisdiction, data sources, and delivery constraints. I would then identify legal risks such as privilege, confidentiality, licensing, and accuracy requirements before defining an expert workflow, quality plan, timeline, and cost model.
I apply data-minimization and access-control principles, confirm authority to use the material, and establish documented handling procedures. Where appropriate, I would require de-identification, segregated environments, vetted experts, audit trails, and escalation paths for uncertain materials.
I would document the pilot's operating model, task definitions, acceptance criteria, staffing profile, quality thresholds, tooling needs, and exception handling. I would use pilot metrics to refine the workflow, train delivery teams, and establish governance for consistent performance at scale.
I would make the disagreement concrete by mapping it to agreed requirements, examples, and measurable evaluation criteria. I would facilitate a decision that balances legal defensibility, model usefulness, timeline, and cost, while documenting any accepted risks and final standards.
I would track legal-expert agreement, annotation accuracy, completeness, turnaround time, rework rate, exception frequency, cost per accepted item, and adherence to confidentiality requirements. The final metric set would be tailored to the customer's specific model-training or evaluation objective.
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