Agiloft was named a Leader in the 2023 Gartner Magic Quadrant for Contract Life Cycle Management for the fourth year in a row. Contract Lifecycle Management (CLM) is one of the fastest-growing areas of enterprise sales, with a TAM projected to climb from $2B to $7B in the next 5 years.

The Agiloft Contract Lifecycle Management platform has won dozens of awards, including the Editor's Choice award from PC Mag, for the past five years in a row.

Agiloft has a highly differentiated value proposition which is uniquely appealing to enterprises: pre-built applications with a deeply configurable, no-code platform for integrated Business Process Management throughout an organization.

Agiloft is pioneering the applied use of Artificial Intelligence to enable next-generation business commerce at organizations ranging from small enterprises to U.S. government agencies and Fortune 100 companies.

Additionally, 99% of employees who commented on Glassdoor would recommend Agiloft to a friend.

At Agiloft, we are driven to build products that deliver maximum value and return on investment to our customers. Our customers leverage AI to speed up the process of importing legacy contract data into their Agiloft instance, ease the pain of third-party paper negotiations, and flag departures from their organization’s accepted contractual language.

We are looking for an individual with extensive experience drafting and negotiating contracts to lead the training of AI engines to extract and analyze contractual information. This would involve managing the AI annotation process from end-to-end, including gaining a deep understanding of our customers’ AI use cases, sourcing training documents, supervising the production of new AI model while building and managing a team of knowledge experts.

Job Responsibilities

Reporting into our Senior Director of AI, work with our Data Science and AI teams to define our AI roadmap, including a prioritized list of document types and data points for our technology to analyze using AI
Lead and build our Legal Knowledge Engineering team made up of contract lawyers and AI experts
Collaborate with our external AI partners
Collect diverse sets of training documents by searching public sources and leading collaboration projects with customers
Project manage AI training projects and ensure release deadlines are met
Oversee robust AI model testing procedures prior to release to customers
Contribute to sales and marketing collateral on AI
Join calls with prospects and customers to ensure they are getting maximum value from our AI
Additional duties as assigned

Required Qualifications

Five or more years’ experience drafting and negotiating a wide variety of commercial contracts, preferably with some experience in an in-house role
Experience working with legal AI technologies
Experience in legal operations and/or working with contract management systems is a plus
Comfortable working with a distributed, multinational team
A JD or LLB from an accredited law school
Experience in SaaS based ERP, CRM, or BPM solutions.

Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All employment decisions at Agiloft are based on business needs, job requirements, and individual qualifications without regard to race, color, religion or belief, national or social ethnic origin, sex, age, sexual orientation, gender identity and/or expression, parental status, marital status, Veteran status, or any other status protected by the laws or regulations in the locations where we operate. If you have a need that requires accommodation during the recruiting process, please let us know by contacting Director, Talent Acquisition, Brad Toothman at brad.toothman@agiloft.com.

Applicants from underrepresented groups such as minorities, veterans, or individuals with disabilities encouraged to apply.

Applications will be reviewed as submitted. There will be no application deadline for this opportunity.

Agiloft jobs

Legal Knowledge Engineer Lead