Adoption Services Specialist - ediscovery
R
RelativityEDiscovery
AustraliaFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3+ years
- Required Skills
- Project ManagementSaaSCustomer support
Requirements
- 3+ years of customer-facing support in the Legal Data Intelligence or eDiscovery industry, supporting legal, compliance, or investigative workflows.
- Experience in the software technology sector, preferably in SaaS or cloud-based platforms.
- Ability to navigate ambiguity with curiosity and intent, probing deeply into customer challenges.
- Strong written and communication skills with the ability to explain technical concepts and AI-assisted workflows to non-technical audiences.
- Collaborative mindset with the ability to work effectively across cross-functional teams.
- Willingness to continuously learn new technologies and processes.
- Ability to actively listen to customers, identify pain points in their business processes, and provide effective solutions.
- Strong organizational and time-management skills with ability to manage multiple projects simultaneously.
- Experience with AI/ML solutions for Legal Data Intelligence (preferred).
- Relativity Certified Administrator certification (preferred).
Responsibilities
- Serve as a consultative partner to customers, guiding them in adopting and evolving their Legal Data Intelligence workflows using RelativityOne’s AI-powered platform with a focus on measurable outcomes.
- Lead strategic engagements that align to customer goals, helping teams translate capabilities into meaningful, real-world outcomes.
- Travel up to 20% to spend 1:1 time with key customers to provide onsite consultations on workflow strategies and adoption-specific workshops.
- Advise customers on how to leverage AI-driven features, cloud-native workflows, and extensibility options to drive efficiency, insight, and defensibility within established use cases.
- Facilitate use-case-driven discussions that help customers mature their operating models and unlock greater value from the platform over time.
- Partner with cross-functional teams to reinforce and refine learning journeys, ensuring guidance remains relevant, practical, and forward-looking.
- Identify recurring challenges and emerging needs across customers, and feedback those insights for improved adoption strategies, playbooks, and scalable enablement approaches.
- Model best practices in using AI-assisted tools—balancing efficiency with critical thinking, accuracy, and a strong commitment to customer trust.
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