The role involves leveraging legal expertise and AI experience to shape product development and enhance contract lifecycle management solutions, requiring collaboration across teams.
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.
Agiloft, an AI-powered Contract Lifecycle Management Platform and Gartner Magic Quadrant leader, is looking for an experienced lawyer or legal professional with a background in commercial practice and hands-on experience implementing or leveraging artificial intelligence.
At Agiloft, we are driven to build products that deliver maximum value and return on investment for our customers. Our customers use AI to speed up the import of legacy contract data into their Agiloft instance, streamline 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 commercial contracts, along with practical experience applying artificial intelligence in a legal or contract-focused context, to support the evolution of Agiloft’s AI capabilities. This role will include developing a deep understanding of our customers’ AI use cases, contributing to the design and refinement of AI-driven workflows and agentic solutions, and conducting structured evaluation and validation to ensure high-quality, reliable outputs. Your work will directly shape the value our customers derive from Agiloft’s products.
Why this Role is Exciting
- Own and shape how AI is applied to real-world legal workflows and core product use cases.
- Build and refine AI-driven solutions used by leading organizations.
- Contribute to the evolution of agentic AI within an enterprise-grade platform.
- Work in a highly collaborative environment where legal expertise directly informs product direction.
- See the direct impact of your work on product capabilities and overall platform value.
Job Responsibilities
- Apply legal expertise and AI/Generative AI experience (Agentic AI experience is a plus) to propel execution of Agiloft’s AI product roadmap.
- Collaborate cross-functionally with Product, Data Science, MLOps, and Engineering teams to shape AI-driven solutions.
- Design and refine prompts and related inputs to enable extraction of complex concepts across a range of agreement types.
- Optimize AI performance across use cases through prompt/context engineering and iterative refinement.
- Contribute to the development and refinement of pretrained AI models for contract analysis and related use cases.
- Conduct structured evaluation and validation of AI outputs to ensure accuracy, consistency, and reliability.
- Collect and curate high-quality document datasets for AI training and evaluation from public and internal sources.
- Ensure product features are designed with legal professionals and real-world use cases in mind.
- Partner with technical writers to create internal design documentation and external customer-facing materials.
- Translate legal expertise into clear, actionable requirements for cross-functional project teams.
- Participate in select customer/prospect interactions to inform and validate AI solutions
- Act as a subject matter expert on legal knowledge engineering across the company.
- Identify opportunities to improve processes, efficiency, and best practices.
- Other duties as assigned.
Required Qualifications
- 3+ years commercial legal experience (law firm, in-house, or legal service provider) or 2+ years of hands-on experience as a legal knowledge engineer or in a similar role.
- JD from an accredited law school is a plus; admission to and in good standing with the bar of at least one U.S. state or Canadian province/territory is an additional plus.
- Extensive experience reviewing, drafting, and negotiating commercial contracts.
- Experience with prompt engineering, including designing, refining, and validating LLM prompts to produce high-quality, reliable outputs.
- Familiarity with agentic AI concepts or experience working with agentic workflows is a plus.
- Experience with contract management solutions and/or legal operations is a plus.
- Demonstrated ability to contribute to cross-functional initiatives spanning legal, product, and technical teams.
- Proven experience in collaborating effectively with peers, including legal knowledge engineers or similar roles.
- Experience working with distributed, global teams.
- Strong written and verbal communication skills, with the ability to explain complex concepts clearly.
- Exceptional attention to detail, organizational skills, and time management.
- Ability to quickly learn and adapt to new technologies and advancements.
- High degree of ownership, independence, and accountability.
- Ability to maintain substantial overlap with Eastern Time Zone working hours.
Agiloft offers a comprehensive benefits package for US employees including but not limited to the following:
- Medical, dental, and vision insurance
- Short term and long-term disability
- Life insurance and AD&D
- Supplemental life insurance (Employee/Spouse/Child)
- Health care and dependent care Flexible Spending Accounts
- 401(k) with company match
- Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position.
- Paid parental leave
- Voluntary benefits including pet insurance
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].
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.
Top Skills
Agentic Ai
Artificial Intelligence
Contract Management Solutions
Generative Ai
Legal Operations
Llm Prompts
Prompt Engineering
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