Legal Technology

Legal Technology Data Jobs

6 jobs found

6d ago

Data Analyst (Domo)

TechCow Remote 🌍 Remote

Remote

6d ago

Full time Business Intelligence Data Analysis Data Analytics

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Job Description

Remote, full-time and client-facing, this Data Analyst role helps law firm teams turn operational data into clear dashboards and reliable reporting. TechCow supports client success through dashboard development, data pipeline work, and reporting insights, with a focus on accuracy, documentation, and ongoing enablement for each engagement.

What you’ll do

Build and maintain Domo dashboards, reports, and dataflows to support client decision-making
Design, manage, and validate ETLs, including data extraction, transformation, and checks for data quality
Integrate data from legal CMS platforms such as Filevine, SmartAdvocate, CloudLex, and Neos, plus other business tools and data sources
Use APIs, data connectors, and relevant integrations to assemble reporting-ready datasets
Run client-facing meetings to gather requirements and present insights in a clear, actionable way
Translate legal workflows and case lifecycle stages into reporting structures that make sense for each client’s KPIs
Spot trends, inconsistencies, and opportunities in client data, then reflect findings in reporting outputs
Ensure data accuracy, consistency, and reliability across all reporting views and dashboards
Maintain documentation and provide support for ongoing client needs after delivery

What you bring

2+ years of experience in data analytics or business intelligence, preferably in a client-facing role
Strong experience with Domo (required)
Proficiency in SQL and data transformation
Experience working with legal CMS platforms such as Filevine, SmartAdvocate, Neos, or CloudLex
Understanding of Personal Injury workflows, case lifecycle, and key performance metrics
Strong communication skills, including the ability to explain data to non-technical stakeholders
Ability to work independently, manage multiple clients, and deliver high-quality work

Tools you’ll use

Domo, SQL, legal CMS systems like Filevine, SmartAdvocate, CloudLex, Neos, plus ETLs, APIs, and data connectors. The role may also involve analytics and integration tools including Python, CallRail, and Lead Docket.

Bonus points

Experience with APIs, data connectors, or advanced ETL processes
Experience with Python or other analytics tools
Background in legal operations or law firm environments
Experience working with marketing or intake data such as CallRail and Lead Docket

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10d ago

Lead Data Scientist

Motion Recruitment Raleigh, NC

Raleigh, NC

10d ago

Contract Backend Developer Manager Agentic Ai

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Job Description

Motion Recruitment is hiring for a contract Lead Data Scientist position in Raleigh, NC, with a hybrid schedule that includes two days onsite each week. In this role, you will help shape and deliver advanced AI capabilities for platforms focused on legal and regulatory intelligence.

You will lead the design and deployment of Retrieval-Augmented Generation (RAG) and agentic AI systems, with an emphasis on building solutions that can support real enterprise workflows for legal professionals.

Role focus

Work centers on engineering and operationalizing AI systems for legal research and document-centric tasks. The aim is to enable capabilities such as case law summarization, statutory interpretation, document intelligence, and workflow automation through enterprise-scale machine learning and LLM architectures.

Responsibilities

Lead the design and deployment of advanced RAG systems and Agentic AI architectures tailored for legal and regulatory intelligence platforms
Drive innovation in enterprise-scale AI systems that support legal research, case law summarization, statutory interpretation, document intelligence, and workflow automation for legal professionals

Requirements

Bachelor's degree required
8+ years of experience
Deep expertise in machine learning, NLP, LLM systems engineering, and distributed AI architectures

Desired skills & experience

Master's degree
Prior experience working in legal/law data ecosystems

Technologies

Retrieval-Augmented Generation (RAG)
Agentic AI
Machine learning
NLP
LLM systems engineering
Distributed AI architectures

Contract details

Job type: contract
Contract duration: 6-month contract to hire
Location: Raleigh, NC (hybrid)
Work schedule: requires 2x a week onsite

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1mo ago

AI Engineer

Dechert LLP Philadelphia, PA

Philadelphia, PA

1mo ago Closed

Full time Ai Automation Artificial Intelligence Azure

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

The AI Engineer role at Dechert LLP is based onsite in Philadelphia, PA and focuses on designing, building, and deploying secure AI enabled solutions that enhance the delivery of legal services and firm operations, in partnership with attorneys, legal professionals, and business services teams.

Responsibilities

Collaborate with attorneys, practice groups, legal project management, knowledge management, finance, risk, client development, and business services teams to map workflows, identify pain points, and define desired outcomes.
Lead technical discovery sessions and evaluate opportunities for AI, automation, workflow optimization, integration, and custom applications.
Rapidly design and prototype proof of concept and pilot solutions using approved AI platforms, APIs, low code tools, workflow automation platforms, and custom development technologies.
Develop secure AI enabled applications including generative AI assistants, document and knowledge search tools, retrieval augmented generation (RAG) applications, workflow copilots, intelligent agents, and decision support systems.
Create and maintain integrations among firm applications, document repositories, knowledge systems, data platforms, collaboration tools, and approved third party services.
Design AI solutions that address data classification, confidentiality, ethical use, model limitations, human review, auditability, access controls, retention, and regulatory obligations.
Coordinate with enterprise solutions architecture, information security, privacy, records management, risk management, and legal teams to meet global standards prior to production deployment.
Evaluate and select technical approaches based on business value, solution complexity, data sensitivity, scalability, supportability, and time to value.
Develop reusable components, integration patterns, prompt libraries, evaluation methods, documentation, and technical standards to accelerate future AI and automation work.
Conduct testing, quality assurance, user acceptance testing, model evaluation, and performance monitoring for AI enabled solutions.
Establish measures of success including time savings, adoption, accuracy, user satisfaction, process cycle reduction, risk reduction, and business impact.
Produce technical documentation, architecture diagrams, support materials, operating procedures, and knowledge transfer artifacts.
Transition mature solutions to appropriate applications support and operations or enterprise development with clear ownership and lifecycle plans.
Monitor deployed solutions for performance, reliability, adoption, model behavior, security concerns, and opportunities for iterative improvement.
Stay current on AI engineering practices, legal industry AI use cases, emerging tools, governance requirements, and relevant technology trends.
Participate in intake prioritization, solution estimation, roadmap planning, vendor evaluations, and innovation portfolio reporting.
Collaborate with Legal, Risk, Security, and Compliance teams to ensure AI initiatives meet applicable legal and regulatory obligations.
Ensure AI systems handling client or confidential information comply with privacy, security, and data handling requirements across operating jurisdictions.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Science, Artificial Intelligence, or a related technical discipline (required; equivalent combinations may be considered).
Minimum of 5 years of experience in software engineering, application development, automation, systems integration, data engineering, or related technical roles (required).
Experience with cloud platforms such as Microsoft Azure or Amazon Web Services (required).
Experience with enterprise integrations, APIs, identity and access management, secure development practices, and application lifecycle management (required).
Experience collaborating with cross-functional stakeholders and delivering technology solutions from discovery through production deployment (required).

Technologies

Python
JavaScript / TypeScript
C#
ASP.NET Core
SQL
Microsoft Azure
Amazon Web Services
Azure / OpenAI integration
Large Language Models (LLMs)
Microsoft Copilot
Model Context Protocol (MCP)
Prompt engineering
Retrieval augmented generation
Embeddings
Vector databases
AI agents
RAG architectures
Vector search technologies
React
Robotic Process Automation
Low-code / no-code development tools
Workflow platforms
Integration platforms
CI/CD

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1mo ago

eDiscovery Data Analyst

CACI Alexandria, VA

Alexandria, VA

1mo ago Closed

$39k - $68k/yr Full time Analyst Data Analysis Data Analytics

This position is no longer accepting applications (closed Aug 28, 2026).

Job Description

Based in Alexandria, VA (onsite), CACI seeks an eDiscovery Data Analyst to support data loading, migration, export, and production tasks in RelativityOne and Relativity Server, validate and troubleshoot electronic data, and collaborate across teams to deliver eDiscovery workflows.

Responsibilities

Execute data loading, migrations, exports, and production tasks in RelativityOne and Relativity Server environments.
Prepare, validate, and troubleshoot electronic data to ensure accurate delivery to internal teams and clients in a timely manner.
Oversee data workflows such as load file preparation, metadata validation, document imports, exports, and production releases.
Conduct quality control checks to identify and resolve data discrepancies, errors, and processing issues.
Collaborate with project managers, attorneys, analysts, and technical staff to support eDiscovery workflows and client deliverables.

Requirements

Bachelor’s degree preferred; equivalent experience, technical training, or relevant coursework will be considered.
Demonstrates meticulous attention to detail and can manage multiple tasks without sacrificing accuracy.
Basic knowledge of databases, file structures, data formats, or technical workflows is preferred.
Solid problem-solving abilities and a willingness to learn new technologies and processes.
Strong written and spoken communication skills and the ability to work well in a team environment.

Technologies

RelativityOne
Relativity Server
Excel
SQL
Scripting

Benefits

Healthcare
Wellness
Financial benefits
Retirement benefits
Family support
Continuing education
Time off benefits

The Opportunity

Be part of an expanding eDiscovery operations team and gain hands-on experience supporting complex legal tech environments.
Develop expertise on leading platforms such as RelativityOne and Relativity Server while handling real-world litigation and investigation data.
Learn the complete eDiscovery data lifecycle from loading and migrating data to productions, exports, and quality control.
Build a solid foundation in eDiscovery technology with room for career growth and advancement.
This role suits recent graduates, early-career professionals, or those starting a career in legal technology.

Pay Range

$39,400 - $68,300 per year

Job Details

Job ID: 329042
Job Category: Information Technology
Time Type: Full time
Minimum Clearance to Start: DOJ MBI
Employee Type: Regular
Travel: None
Education: Bachelor’s degree preferred

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1mo ago

Legal Data Analyst, Applied Data Science

Apple Austin, TX

Austin, TX

1mo ago Closed

$176k - $264k/yr Full time Ai Ml Analyst Analytics

This position is no longer accepting applications (closed Aug 28, 2026).

Job Description

Benefits

Base pay range: $175,500 - $263,800 per year
Discretionary employee stock programs
Discretionary restricted stock unit (RSU) awards
Employee Stock Purchase Plan
Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Educational expense reimbursement (including tuition)
Discretionary bonuses or commission payments
Relocation

Onsite in Austin, TX, this role contributes to Apple's Legal Operations within the Applied Data Science team by delivering analytical insights and ensuring data readiness for AI and analytics. You will leverage AI tools for data profiling, anomaly detection, pattern recognition, and insight generation to inform decision-making across matters, spend, contracts, and vendors, and to build forecasting and resource utilization models.

Responsibilities

Leverage AI tools and techniques to accelerate data analysis, automate repetitive tasks, and surface insights at scale
Apply AI assisted data profiling, anomaly detection, and pattern recognition to identify data quality issues and trends more rapidly
Analyze legal operations data to surface trends, patterns, and actionable insights across matters, spend, contracts, and vendors
Develop spend analytics, matter forecasting, and resource utilization models that inform strategic decisions using AI to enhance predictive capabilities
Profile and assess data quality across legal systems including matter management, contract management, eBilling, and document management
Cleanse, standardize, and enrich data to meet quality thresholds required for AI and analytics consumption
Validate entity data (law firms, timekeepers, vendors, counterparties) to support entity resolution initiatives
Build analytical models that support rate negotiations, vendor performance evaluation, and outside counsel management
Collaborate with AI/ML Engineers to identify opportunities where AI can automate or augment analytical workflows
Document data lineage, business rules, and transformation logic
Partner with Data Stewards across practice groups to enforce data quality at the source
Develop and maintain analytical dashboards, data quality reports, and monitoring tools
Translate analytical findings into clear recommendations for practice group and leadership audiences

Requirements

4+ years of experience in data analysis, business intelligence, and analytics roles
Strong proficiency in SQL, Python, and experience with analytical and data profiling tools
Experience using AI and LLM based tools to accelerate analytical work
Experience with statistical analysis, trend analysis, and forecasting techniques
Experience working with enterprise data systems (ERP, CRM, matter management, or similar)
Strong analytical and problem solving skills with attention to detail
Ability to communicate analytical findings and data quality insights to technical and non-technical stakeholders
Experience building in and presenting with BI and visualization tools (Tableau, Power BI, or similar)
Deriving and defining KPIs and other business impact metrics for leadership

Technologies

SQL
Python
Tableau
Power BI
Great Expectations
Monte Carlo
ERP
CRM
AI tools
LLM-based tools

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1mo ago

Senior Legal Specialist, Data Analyst/AI Specialist - Commercial Law Group

The Bank of New York Mellon Corporation Lake Mary, FL

Lake Mary, FL

1mo ago Closed

Full time Analyst Analytics Artificial Intelligence

This position is no longer accepting applications (closed Aug 13, 2026).

Job Description

The Bank of New York Mellon Corporation seeks a Senior Legal Specialist to advance data analytics and AI enabled operations within the Commercial Law Group. This onsite role is based in Lake Mary, Florida.

Responsibilities

Collaborate with attorneys to design, build, and manage BNY Legal's bespoke AI capabilities to streamline legal operations, including creating an Agentic AI workflow to support contracting and negotiations.
Contribute to firmwide AI governance, encompassing intake triage, issue tracking, workflow coordination, and maintaining governance documentation.
Conduct data analytics and generate reports to support transactional work, including extracting, analyzing, and presenting contract insights and trends; partner with attorneys and business clients to maintain and enhance datasets, dashboards, and risk management reporting.
Administer, optimize, and promote adoption of legal technology platforms, including CLM systems, contract repositories, analytics tools, and custom AI solutions.
Engage with a broad range of internal and external stakeholders, including business teams, sourcing, and external counsel, to support contracting processes, vendor management, data quality, and related governance initiatives.

Requirements

Background as a paralegal, analyst, or legal operations professional, ideally within a corporate or financial services setting.
Strong data analytics capabilities, with experience handling structured and unstructured data, spreadsheets, reporting tools, dashboards, or legal analytics platforms.
Demonstrated experience or strong interest in AI, automation, and legal innovation.
High comfort level working with technology platforms and digital workflows.
Strong analytical, organizational, and problem-solving skills, with meticulous attention to detail and a proactive mindset.
Ability to manage multiple priorities in a fast-paced environment.
Effective communicator and collaborator.
Experience supporting contracting, negotiations, or third-party governance is beneficial.

Technologies

Experience with Contract Lifecycle Management (CLM) systems, contract repositories, and analytics tools.

Legal Department Awards

FT Innovative Lawyers North America 2024 – Winner: Innovation in Operational Transformation (adoption of generative AI)
Legalweek 2025 | ALM Law.com – Most Innovative Legal Department of the Year
2025 Pennsylvania Legal Awards – Winner: In-House Impact Award

Firmwide Recognition

America’s Most Innovative Companies, Fortune, 2024
World’s Most Admired Companies, Fortune 2024
Human Rights Campaign Foundation, Corporate Equality Index, 100% score, 2023-2024
Best Places to Work for Disability Inclusion, Disability: IN – 100% score, 2023-2024
“Most Just Companies,” Just Capital and CNBC, 2024
Dow Jones Sustainability Indices, Top performing company for Sustainability, 2024
Bloomberg’s Gender Equality Index (GEI), 2023

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Legal Technology Data Jobs

Data Analyst (Domo)

Lead Data Scientist

AI Engineer

eDiscovery Data Analyst

Legal Data Analyst, Applied Data Science

Senior Legal Specialist, Data Analyst/AI Specialist - Commercial Law Group

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