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Ivo

SaaS AI contract review and redlining

Legal Engineer

Pre-Sales Solution Engineering +1Confirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • Have at least 3 years of legal experience at a law firm or in an in-house legal team.
  • Have a legal background.
  • Be able to present to legal and executive audiences, including impromptu presentations on a whiteboard and presentations or product demonstrations.
  • Be willing to solve problems independently without delegating work.

Responsibilities

  • Champion and advocate for Ivo's product during sales calls, customer onboarding calls, demonstrations, webinars, events, and conferences.
  • Lead product demonstrations tailored to in-house legal teams by asking questions to validate how Ivo can add value and showcasing features and benefits relevant to prospective clients' potential use cases.
  • Advise customers on integrating Ivo into their workflows and adopting best practices for scaling artificial intelligence in their day-to-day work.
  • Implement and oversee implementation of Playbooks for prospects, derived from their precedents, templates, and historical agreements.
  • Work with engineers to improve model outputs and with designers to improve user experience and user interface.
  • Represent the voice of the customer by using a legal perspective to help the broader sales team develop and implement effective strategies, and synthesize customer feedback for the product team through a legal lens.

Desired Qualifications

  • Sales or customer-facing experience, including legal business development or secondment.
  • Experience directly managing law firm client matters and client relationships.
  • Experience working in a startup environment.

About the Company

Ivo

SaaS AI contract review and redlining

Ivo provides a SaaS legal tech platform that automates and speeds up contract negotiations for in-house legal teams using generative AI. It reviews and redlines agreements by comparing them to company playbooks and historical contract data, flags deviations, suggests revisions, and can generate compromise language in the style of experienced attorneys. It differentiates itself by creating company-specific playbooks, offering a smart contract repository and an AI assistant, and focusing on enterprise-scale contract lifecycle needs. Its goal is to shorten deal cycles, improve legal efficiency, and help legal teams manage contracts reliably across the organization.

Company size
51-200
Company stage
Series B
Total funding
$83.2M
Headquarters
San Francisco, CA
Founded
2022

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