Legal Data Analyst

Consilio LLC

1d•Remote

About The Position

The Legal Data Analytics Specialist supports corporate Legal Department’s data and analytics initiatives across litigation, investigations, privacy, data protection, information governance, and legal operations. This role plays a key part in helping the Legal team leverage data to improve decision-making, streamline processes, and enhance compliance and risk management. The successful candidate will combine technical data expertise with a solid understanding of legal workflows—designing queries, formatting search terms, running analytics, and developing insights that drive efficiency and accountability within the Legal function.

Requirements

JD or Paralegal certificate, or BS in relevant field: Bachelor's degree in Data Analytics, Computer Science, Information Management, Legal Studies, or Information Retrieval Sciences, among others), or equivalent
Minimum of 5 years of relevant experience in data analytics, preferably supporting legal, compliance, or risk functions in a corporate environment.
Proficiency in query and analytics tools (e.g., SQL, Power BI, Tableau, Python, or Elasticsearch).
Experience with eDiscovery and legal data tools (e.g., Relativity, Nuix, Reveal, or similar platforms).
Strong understanding of data privacy, data protection, and information governance concepts.
Excellent communication skills, with the ability to translate technical insights into actionable business recommendations.
Extensive knowledge on Relativity’s UI, and the concept, machine learning, and search capabilities.
Subject matter expert (SME) and Consultant.
Communicate, Coordinate, and Implement solutions and workflows and effectively communicate to project teams.
Advise internal teams on existing strategies, workflows, solutions and develop new ones.
Extensive experience in Relativity UI.
Proven work experience in the eDiscovery industry.
Extensive knowledge of the Microsoft Suite.
Industry certifications Data Analytics.

Nice To Haves

Prior experience supporting corporate Legal or Legal Operations teams.
Attention to detail
Demonstrated ability to enhance operational efficiency through data analysis and automation.
Strong project management and stakeholder engagement skills.
Curious, detail-oriented, and adaptable to evolving technology and regulatory landscapes.
Thrive in a collaborative team of independent contributors.
Question irregularities and investigate to validate data and outcomes.
Drive to push skillset forward by learning and testing new tasks.
Thrive on providing accurate and unimpeachable results consistently.
Thrive in fast paced environment requiring status updates and communication.

Responsibilities

Develop, test, and optimize search terms and queries for litigation, investigations, and regulatory responses to ensure accuracy and defensibility.
Partner with internal and external eDiscovery, privacy, and investigations teams to refine search strategies and manage data sets effectively.
Design and execute analytics to identify trends, metrics, and improvement opportunities across Legal Department activities.
Build and maintain dashboards and data visualizations that communicate key insights to legal and business stakeholders.
Collaborate with stakeholders across Legal, Compliance, IT, Privacy, Data Protection, and Information Governance to align data practices and ensure consistency with enterprise standards.
Act as a liaison between Legal and technical teams, translating business needs into actionable data requirements.
Identify opportunities to automate and streamline legal data workflows – with an emphasis on review and production.
Contribute to the implementation and continuous improvement of legal technology tools and analytics platforms.
Support knowledge management and the development of analytics best practices within the Legal team.
Ensure all data handling, storage, and analysis comply with corporate privacy, data protection, and records management policies.
Help define and uphold data quality standards, documentation, and governance protocols for legal data assets.