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Legal Data Science Jobs (NOW HIRING)

1 point system

Data Scientist(Analyst)

New York, NY · Remote

... legal data workflows * Familiarity with Relativity and/or Microsoft Purview * Experience supporting investigations, litigation, or compliance matters * Background in data analysis, data science ...

Apple

Senior Data Architect, Legal Operations

Cupertino, CA · On-site

$83 - $111/hr

The Applied Data Science team within Legal Operations is building the data foundation that powers AI and analytics for a global legal organization. We're transforming how legal work gets done - and ...

1 point system

Senior Data Scientist

Chicago, IL · Remote

Translate risk management business requirements into well-defined data science solutions, including ... Collaborate with Risk Management, Legal, Data Engineering, BI, Data Governance, and MLOps partners ...

1 point system

Senior Data Scientist

Chicago, IL · Remote

Translate risk management business requirements into well-defined data science solutions, including ... Collaborate with Risk Management, Legal, Data Engineering, BI, Data Governance, and MLOps partners ...

Addison Group

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Translate business problems in a variety of business areas into well-defined data science projects ... Collaborate with Risk Management, Legal, Data Engineering, BI, Data Governance, and MLOps partners ...

Apple

Senior Data Architect, Legal Operations

Cupertino, CA · On-site

$184K - $277K/yr

The Applied Data Science team within Legal Operations is building the data foundation that powers AI and analytics for a global legal organization. We're transforming how legal work gets done - and ...

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Legal Data Science information

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$27.5K

$53.3K

$85K

How much do legal data science jobs pay per year?

As of Sep 11, 2026, the average yearly pay for legal data science in the United States is $53,278.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $60,000.00 per year, depending on experience, location, and employer.

What is legal data science?

Legal data science is the application of data analysis, statistical methods, and machine learning to legal data and processes. It involves extracting, processing, and interpreting large volumes of legal documents, such as court decisions, contracts, or case filings, to uncover trends, predict outcomes, automate tasks, and support decision-making in the legal industry. Legal data scientists often work with law firms, corporations, or government agencies to improve efficiency and gain insights from complex legal datasets.

What are some common challenges faced by professionals in legal data science roles?

Professionals in Legal Data Science often face challenges related to data quality and accessibility, as legal data is typically unstructured, sensitive, and dispersed across multiple sources. Navigating privacy regulations, ensuring data security, and maintaining confidentiality are critical aspects of the job. Additionally, legal data scientists must bridge the gap between legal teams and technical stakeholders, translating complex legal requirements into actionable data solutions. Effective collaboration and strong communication skills are essential to address these challenges and drive successful outcomes.

What are the key skills and qualifications needed to thrive as a legal data scientist, and why are they important?

To thrive as a Legal Data Scientist, you need a strong background in data analysis, statistics, and legal principles, often supported by degrees in law, computer science, or related fields. Familiarity with programming languages like Python or R, machine learning frameworks, and legal research databases is typically required. Excellent analytical thinking, attention to detail, and effective communication skills are crucial for interpreting complex legal data and collaborating with legal professionals. These skills enable you to extract valuable insights from legal datasets, drive data-informed decisions, and support compliance and litigation strategies.

What is the difference between Legal Data Science vs Legal Analyst?

AspectLegal Data ScienceLegal Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of legal conceptsLegal degree or paralegal certification; understanding of legal procedures
Work EnvironmentData-driven teams, tech-focused settings, law firms, or legal departmentsLaw firms, corporate legal departments, courts
Employer & Industry UsageLegal tech companies, law firms, corporate legal teamsLaw firms, government agencies, corporate legal departments
Common Search & ComparisonLegal Data Science vs Legal Analyst

Legal Data Science focuses on analyzing large legal datasets using data science techniques, while Legal Analysts interpret legal information and support casework. Both roles are essential in legal settings but differ in technical skills and focus areas.

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What cities are hiring for Legal Data Science jobs?

Cities with the most Legal Data Science job openings:

What are popular job titles for Legal Data Science?

Popular job titles for Legal Data Science:

Legal Data Science jobs near you
Infographic showing various Legal Data Science job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $53,278 per year, or $25.6 per hour.

Data Scientist(Analyst)

New York, NY • Remote

1 point system
IT Services • 51 - 200 employees
Learn more about 1 point systemexternal

Contractor

Re-posted 14 days ago

Job description

Needs:
Microsoft Purview
Analyst or scientist Background
Job Description
Overview

We are seeking a Data Scientist to support legal data workflows across the full eDiscovery lifecycle. This role works closely with legal, compliance, and investigations teams to manage, analyze, and prepare data for internal investigations, litigation, and regulatory matters. The role focuses on hands‑on work in Relativity and Microsoft Purview, with an emphasis on data processing, analytics, and review readiness.

Key Responsibilities

  • Support legal holds and preservation workflows across Microsoft 365 and other enterprise systems
  • Assist with internal investigations, litigation, and regulatory matters by identifying, collecting, and preparing data
  • Process and manipulate large datasets for eDiscovery, including filtering, deduplication, and data normalization
  • Perform search term analysis and inclusive data segregation
  • Support analytics workflows, including content grouping, clustering, and review prioritization
  • Prepare data for attorney review, including workspace setup, batching, and reporting
  • Support document review and production workflows, ensuring defensible and repeatable processes
  • Generate metrics and reporting related to data volumes, processing results, and review status
  • Collaborate with legal, IT, and compliance stakeholders to refine data strategies and workflows

Tools & Platforms

  • Microsoft Purview (eDiscovery Premium)
  • Relativity (processing, analytics, review, and production)
  • Microsoft 365 data sources (Exchange, Teams, SharePoint, OneDrive)
  • Large structured and unstructured datasets

Required Skills

  • Strong ability to work with large datasets and understand how data is structured
  • Experience analyzing, filtering, and preparing data for downstream use
  • Comfort working in legal or regulated environments
  • Ability to explain data findings clearly to non‑technical audiences
  • Strong attention to detail and process discipline
  • Ability to manage multiple data requests and investigations at the same time
  • Willingness to learn and adapt to new tools and workflows

Preferred Experience

  • Experience with eDiscovery or legal data workflows
  • Familiarity with Relativity and/or Microsoft Purview
  • Experience supporting investigations, litigation, or compliance matters
  • Background in data analysis, data science, analytics, or information governance