Senior Legal Knowledge Engineer
Company
Agiloft
Location
Remote
Type
Full Time
Job Description
As the most trusted global leader in data-first contract lifecycle management (CLM) software, Agiloft helps organizations manage the end-to-end process of proposing, negotiating, signing, and leveraging contracts using our flexible Data-first Agreement Platform (DAP). With contract data as the foundation, customers quickly and collaboratively reach agreement and leverage contract visibility to thrive with competitive advantage. Employing powerful, pragmatic artificial intelligence as a legal force multiplier, and robust integration capabilities as a data liberator, organizations around the world trust Agiloft’s certified implementers to deliver connected, intelligent, and autonomous solutions across the entire contract lifecycle.
Top analysts like Gartner, Forrester, and IDC agree, all showing Agiloft as a leader in the CLM space. Our no code platform is easily managed and administered by business users, which is why Agiloft is the contract you keep: nearly a full 100% of new customers are satisfied with their initial implementations, and some 97% of customers renew every year. Ours is a growing, vibrant, successful company that is at the forefront of a market that is becoming a must-have for all organizations.
We believe that the way to build the strongest, most vibrant place to work is to bring in individuals from all walks of life, and to support them in bringing their authentic selves to their day, every day. Our working philosophy is that “EX = CX”: when employee experience is excellent, so is customer experience. We support multiple Employee Resource Groups (ERGs), and offer a working environment that supports healthy work/life balance, including floating holidays and a quarterly, no-questions-asked wellness day.
Position Overview
Agiloft, an AI-enabled Contract Lifecycle Management Platform and Gartner Magic Quadrant leader, is looking for an experienced lawyer, with commercial practice experience and a passion for technology, to assist with its pre-trained artificial intelligence efforts.
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 significant experience drafting, reviewing, and negotiating contracts to assist with building out Agiloft’s AI capabilities. This work will include gaining a deep understanding of our customers’ AI use cases, identifying and prioritizing new models for production and testing AI models prior to release.
Job Responsibilities
- Apply legal and AI/GenAI experience to propel execution of our product roadmap.
- Collaborate with Product and Data Science in defining our AI roadmap, including the prioritization of data points and document types for our technology to analyze using AI.
- Train and test AI models to extract complex concepts from different types of agreements through various training methods, including annotation and prompt engineering.
- Assist in the collection of diverse sets of documents by searching public sources.
- Ensure product features are designed with legal professionals as users in mind.
- Assist in directing and reviewing the work of associate legal knowledge engineers.
- Work with technical writers to help create documentation to assist users in leveraging our AI for contract review.
- Join calls with prospects and customers to ensure they are getting maximum value from our AI.
- Act as a subject matter expert throughout the company on legal knowledge engineering.
- Identify opportunities to improve processes, efficiency, and best practices.Â
- Other duties as assigned.
Required Qualifications
- JD from an accredited law school.
- Admitted to and in good standing with the bar of at least one U.S. state or Canadian province/territory.
- 5+ years of legal practice, ideally gained with a law firm, in-house, or at a legal service provider and 2+ years hands-on experience as a legal knowledge engineer or similar role
- Extensive experience reviewing, drafting, and negotiating commercial contracts.
- Experience independently training and testing complex AI models at a high-volume.
- Experience in prompt engineering, including drafting and fine-tuning effective LLM prompts to generate ideal responses.
- Experience with contract management and/or legal operations is a plus.
- Experience contributing meaningfully to cross-functional initiatives that require legal and technical skills.
- Experience speaking publicly about work and disseminating for cross-team knowledge sharing.
- Experience mentoring, training, and/or supervising junior associates or legal knowledge engineers.
- Experience working with a distributed, multi-national team.
- Outstanding attention to detail and organizational and time management skills.
- Excellent written and verbal communication skills.
- Ability to learn new technologies quickly.
- High level of independence and self-accountability.
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 [email protected].
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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.
Date Posted
11/28/2024
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