ID 2024-25209

Location

IE-Dublin-Dublin

Category

Engineering

Position Type

Regular

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).

The Legal Data Specialist role is at the intersection of Docusign’s Legal, Data Science and Product functions, and is focused on the application of legal and contractual knowledge to deliver the highest quality data annotation for Machine Learning (ML) purposes. The role is part of the AI team, consisting of Engineering, Applied Science, Product Management and Legal team partners globally.

The candidate shall work closely with these internal teams as well as with third-party annotation vendors, drawing on their experience in legal and data fields to drive research and evaluation of data acquisition and labeling efforts to build high-quality contractual and legal domain datasets.

The team of Legal Data Specialists was established to work on delivery and execution of Docusign’s data charter - leveraging legal and data expertise to construct legal labeling guidelines, review data quality and model outputs, and provide feedback to ML teams and data vendors (i.e. first-party and third-party data and service providers).

This position is an individual contributor role reporting to the Data Annotation & Acquisition Manager.

Responsibility

• Apply legal and contractual expertise to complex AI problems to help construct annotation guidelines, define legal and contractual terms for data annotation purposes and extend labeling ground truth scenarios
• Understand, assist and improve the existing training data maintenance and enrichment process
• Collaborate with internal teams and with third-party data annotation vendors to deliver the highest quality labeling for consumption by ML team partners
• Work together with the AI and ML team to perform research, testing and evaluation of existing and emerging annotation methods and technologies that could be effectively applied to contractual and legal data
• Develop an understanding of the technologies and methods used within Docusign product development, working closely with the product team and engineers to deliver the highest quality data annotations aligned with product development timelines
• Be the primary point of contact for internal collaborators to answer legal domain questions

Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)

Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.

Basic

• BA degree in a law-related field
• 2+ years of experience in the contract field, contracts administration, or legal operations
• Ability to identify legal concepts and translate them into data patterns
• Ability to interpret legal language and requirements to communicate in an understandable fashion with non-legal colleagues
• Experience of working in a fast-paced environment focused on delivering against product launch timelines, and of working as a domain expert with multiple cross-functional collaborators
• Experience with legal analytics and legal terminology
• Understanding of and interest in data science and machine learning
• Attention to detail and proof-reading skills
• Excellent analytical, problem-solving, and communication skills

Preferred

• High level of working proficiency in one or more of the following languages: French, German, Portuguese, Japanese
• Familiarity with legal technology (including contract systems) and with common commercial contracts used for procuring products and services
• Practical experience working with an in-house legal department, prior work at a technology-focused company preferred
• Familiarity working efficiently with data on a scaled basis preferred (MS Excel, Google Sheets, or other spreadsheet or analytical solutions)
• Experience working in an agile work environment (Jira, Confluence)
• Experience working in a legal-tech hybrid role such as eDiscovery or contract analytics
• Energy, experience, and motivation to work across global and functional boundaries

Working here

Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal.

We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live.

Accommodation

Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at [email protected].

If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at [email protected] for assistance.

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