Mercor Engagement Manager, Legal at Mercor manages legal tech and law firm clients to post-train and evaluate AI models for legal work. The role involves client management, commercial processes, and translating legal expertise into AI training data.
Responsibilities
As an Legal Engagement Manager, you will help legal tech companies, application-layer AI companies, and law firms post-train and evaluate models for legal work. You'll serve as their primary point of contact from first conversation through delivery.
Your legal training is central to the role. You'll help customers define what high-quality legal work looks like, turn it into evaluations and training data, and work with Mercor's network of lawyers to produce it. You'll also lead commercial processes for new and existing customers and help leadership find and unblock growth in the legal market.
Manage and grow a portfolio of legal tech companies, application-layer companies, and law firms, from first meeting through delivery and expansion
Lead commercial processes for new and existing business, including scoping, pricing, and contracting
Work with customer, product, and research teams to design evaluations and post-training data for legal tasks such as contract review, legal research, drafting, and litigation support
Translate legal practice into rubrics and task specifications that models can be trained and measured against
Help recruit and calibrate lawyer experts on Mercor's platform, and work with operations to track quality and timelines
Serve as the primary point of contact for customer questions, issues, and escalations, and drive them to resolution
Forecast revenue and surface opportunities for account growth
Ideally You'd Have
JD required; bar admission and experience practicing at a law firm or in-house strongly preferred
4+ years of total work experience, which may include legal practice, legal tech, or consulting for legal clients
Qualification
JD requiredFamiliarity with LLMs
Required
JD required
Bar admission and experience practicing at a law firm or in-house strongly preferred
4+ years of total work experience including legal practice, legal tech, or consulting
Track record in client-facing roles and building relationships
Preferred
Strong interest in AI's impact on legal work
Familiarity with LLMs, model evaluation, or legal tech products
Comfort working with ML and engineering stakeholders
