Legal Technology

Legal Technology Engineer Jobs

5 jobs found

14d ago

Legal AI Engineer, Corporate

Debevoise & Plimpton LLP New York, NY

New York, NY

14d ago

$240k - $300k/yr Full time Applied Ai Engineer Artificial Intelligence Law Firm

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Job Description

Debevoise & Plimpton LLP is seeking a Legal AI Engineer, Corporate to join its Practice Systems & Applied AI team. This role supports corporate practice and client engagements by leading client-facing discussions on AI and helping lawyers apply artificial intelligence responsibly within corporate legal workflows.

Role Overview

Working closely with the Head of Practice Systems & Applied AI, the position focuses on translating corporate legal needs into practical, responsible AI use across matters and client teams. The role combines corporate legal subject-matter knowledge with hands-on AI guidance, client training, and support for the firm’s applied AI roadmap.

Key Responsibilities

Collaborate with the Head of Practice Systems & Applied AI to implement the Firm’s AI strategy and expand responsible AI use across corporate practices and client engagements.
Prepare for and lead client-facing presentations, meetings, demonstrations, trainings, and continuing legal education programs covering AI concepts, capabilities, risks, and legal use cases.
Act as a subject-matter expert to help lawyers explain the Firm’s AI capabilities, approach, governance, and experience to clients.
Advise corporate clients on applying AI in legal departments and matter teams, including use-case development, workflow design, adoption considerations, and responsible-use practices.
Partner with Partners, Counsel, and Associates in the Corporate Department to understand legal workflows, identify high-value AI opportunities, and develop practical integration approaches.
Apply knowledge of corporate legal practice to evaluate how AI may support drafting, review, diligence, transactions, fundraisings, M&A, capital markets, private equity matters, and related corporate processes.
Provide hands-on support for lawyers using AI on specific matters, including use-case selection, workflow design, prompt development, quality control, and attorney review.
Develop corporate practice-specific AI guidance, demonstrations, use cases, talking points, playbooks, and training materials for lawyers and client teams.
Contribute AI-related content and presentations to support pitches, requests for proposals, client alerts, panel discussions, and other business development activities.
Educate attorneys on communicating with clients about AI accurately and credibly, including capabilities, limitations, risks, governance, and potential value.
Translate legal and client needs into business and functional requirements for the Applied AI Engineering & Solutions team and other technical stakeholders.
Support evaluation and rollout of new AI tools by assessing relevance to legal practice, developing adoption strategies, and assisting incorporation of approved capabilities.
Contribute to the Applied AI roadmap by identifying corporate practice and client priorities, assessing potential impact, and recommending initiatives for research, development, or implementation.
Prepare communications, briefings, and recommendations for Firm leadership and other stakeholders regarding AI adoption, corporate client activity, practice opportunities, and emerging legal-industry developments.
Stay current on advances in AI, legal technology, legal-service delivery, client expectations, professional responsibility, and industry practices to keep guidance practical and up to date.

Required Qualifications

J.D. required; minimum of three years working as a practicing attorney, legal innovation professional, knowledge management attorney, practice support attorney, or similar law firm professional.
Demonstrated knowledge of corporate legal practices, transactional matter workflows, attorney work product, and delivery of legal services in a corporate practice context.
Proven ability to independently lead presentations, meetings, trainings, and substantive discussions with clients, lawyers, and senior stakeholders.
Experience advising lawyers or clients on AI, legal technology, knowledge management, innovation, legal operations, or technology-enabled legal-service delivery.
Strong working knowledge of generative AI, large language models, prompt design, AI-assisted legal workflows, and the opportunities and limitations of AI in legal practice.
Experience developing legal or business requirements and working with technical teams to design, evaluate, or implement technology solutions.
Understanding of confidentiality, privilege, data governance, professional responsibility, privacy, and ethical considerations associated with the use of AI in legal services.
Proven track record of leading complex, cross-functional initiatives from opportunity identification through implementation, adoption, and ongoing support.
Exceptional presentation and public-speaking skills, including the ability to lead credible, engaging discussions with clients, Partners, Firm leadership, attorneys, and professional staff.
Deep understanding of corporate legal practice areas and the ability to analyze workflows across different corporate matter types, transactions, and stages of legal work.
Strong understanding of AI concepts and legal use cases, with the ability to explain capabilities, limitations, risks, and technical concepts in clear, practical language.
Excellent written and verbal communication skills, including executive briefings, client materials, training content, demonstrations, and practice-specific guidance.
Strong judgment, professional credibility, and interpersonal skills, with the ability to influence senior stakeholders and navigate sensitive considerations.
Ability to translate legal and corporate client needs into clear use cases, functional requirements, implementation priorities, and recommendations for technical teams.
Strong organizational and project-management skills to manage multiple corporate client, practice, training, and implementation initiatives in a fast-paced environment.

Preferred Qualification

Experience supporting client development, pitches, requests for proposals, client training, or other business development initiatives.

Technologies

Generative AI
Large language models
Prompt design
AI-assisted legal workflows

Location & Compensation

Location: New York, NY (onsite)
Salary: USD 240,000 - 300,000 per year

How to Apply

A resume is required to apply.
Please include salary requirements and indicate where you saw the position posted.
Send required materials to: Human Resources; jferrigno@debevoise.com; 212.909.8310.

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14d ago

Legal AI Engineer, Litigation

Debevoise & Plimpton LLP New York, NY

New York, NY

14d ago

$240k - $300k/yr Full time Applied Ai Artificial Intelligence Legal Technology

Apply Now

Job Description

Debevoise & Plimpton LLP seeks a Legal AI Engineer, Litigation to join the Practice Systems & Applied AI team within the Information Services Department. Based in New York, NY (onsite), this role blends litigation domain expertise with hands-on AI guidance, supporting lawyers and client teams as they apply AI responsibly across litigation workflows and client service.

You will collaborate with Firm leaders to advance the Firm’s AI strategy, lead client-facing education and demonstrations, and help translate litigation and client needs into clear business and functional requirements for the Applied AI Engineering & Solutions team and other technical stakeholders.

Core responsibilities

Partner with the Head of Practice Systems & Applied AI to execute the Firm’s AI strategy and expand responsible AI use across litigation practices and client engagements.
Prepare for and lead client-facing presentations, meetings, demonstrations, trainings, and continuing legal education programs covering AI concepts, capabilities, risks, and legal use cases.
Act as a subject-matter expert for lawyers supporting client conversations about the Firm’s AI capabilities, approach, governance, and experience.
Advise litigation clients and matter teams on practical AI application, including use-case development, workflow design, adoption considerations, and responsible-use practices.
Work with Partners, Counsel, and Associates in the Litigation Department to understand legal workflows, identify high-value AI opportunities, and build practical integration approaches for client work.
Apply litigation practice knowledge to evaluate how AI can support drafting, review, discovery, research, case management, investigations, enforcement matters, regulatory proceedings, and other litigation processes.
Provide hands-on support for attorneys using AI on specific matters, including guidance on use-case selection, workflow design, prompt development, quality control, and attorney review.
Develop litigation practice-specific AI guidance, demonstrations, use cases, talking points, playbooks, and training materials for lawyers and client teams.
Contribute AI-related content and presentations to support pitches, requests for proposals, client alerts, panel discussions, and other business development efforts.
Educate attorneys on accurate and credible client communications about AI, including capabilities, limitations, risks, governance, and potential value.
Translate litigation and client needs into clear business and functional requirements for Applied AI Engineering & Solutions and other technical stakeholders.
Support evaluation and rollout of new AI tools by assessing relevance to legal practice, developing adoption strategies, and helping lawyers incorporate approved capabilities.
Contribute to the Applied AI roadmap by identifying litigation practice and client priorities, evaluating potential impact, and recommending research, development, or implementation initiatives.
Prepare communications, briefings, and recommendations for Firm leadership and stakeholders regarding AI adoption, litigation client and matter activity, practice opportunities, and emerging legal-industry developments.
Stay current on advances in AI, legal technology, legal-service delivery, client expectations, professional responsibility, and industry practices to keep guidance practical and up to date.

Required qualifications

J.D. required; minimum three years working as a practicing attorney, legal innovation professional, knowledge management attorney, practice support attorney, or similar law firm professional.
Demonstrated knowledge of litigation legal practices, litigation matter workflows, attorney work product, and delivery of legal services in a litigation context.
Proven ability to independently lead presentations, meetings, trainings, and substantive discussions with clients, lawyers, and senior stakeholders.
Experience advising lawyers or clients on AI, legal technology, knowledge management, innovation, legal operations, or technology-enabled legal-service delivery.
Strong working knowledge of generative AI, large language models, prompt design, AI-assisted legal workflows, and AI opportunities and limitations in legal practice.
Experience developing legal or business requirements and working with technical teams to design, evaluate, or implement technology solutions.
Understanding of confidentiality, privilege, data governance, professional responsibility, privacy, and ethical considerations for AI in legal services.
Proven track record of leading complex, cross-functional initiatives from opportunity identification through implementation, adoption, and ongoing support.
Exceptional presentation and public-speaking skills, with the ability to lead credible and engaging discussions with clients, Partners, Firm leadership, attorneys, and professional staff.
Deep understanding of litigation legal practice areas and the ability to analyze workflows across different litigation matter types, including investigations, discovery, research, and related processes.
Ability to explain AI concepts and legal use cases in clear, practical language, including capabilities, limitations, risks, and technical concepts.
Excellent written and verbal communication skills, including development of executive briefings, client materials, training content, demonstrations, and practice-specific guidance.
Strong judgment, professional credibility, and interpersonal skills to influence senior stakeholders and navigate sensitive considerations.
Strong organizational and project-management skills to manage multiple litigation, client, practice, training, and implementation initiatives in a fast-paced environment.

Technologies

Generative AI
Large language models
Prompt design
AI-assisted legal workflows

Compensation and location

Location: New York, NY (onsite)
Salary: USD 240,000 - 300,000 per year

How to apply

A resume is required.
Include your salary requirements and where you saw the position posted.
Send required materials to: Human Resources at jferrigno@debevoise.com or call 212.909.8310.

View full job page →

1mo ago

Advanced Software Engineer

Relativity Round Lake, IL

Round Lake, IL

1mo ago Closed

$103k - $155k/yr Full time Backend Developer .NET APIs

This position is no longer accepting applications (closed Oct 23, 2026).

Job Description

Relativity builds distributed, secure cloud services that power AI-enabled legal data solutions at massive scale. This hybrid role in Illinois focuses on LLM infrastructure, reliability, and shipping performant full-stack experiences, from user interfaces to backend services that process petabytes of data weekly.

What you’ll work on

Design, develop, and operate distributed, scalable, secure full-stack cloud services that process petabytes of data weekly.
Build performant and accessible user interfaces, and extend backend services and data pipelines.
Write clean, testable, maintainable code that drives customer impact.
Collaborate with diverse teammates and product partners to solve problems, meet team goals, and deliver AI-powered legal data solutions at scale.
Contribute in design and code reviews by providing constructive feedback to improve quality and maintainability.
Support service ownership through reliability efforts, including on-call rotations and incident response.
Improve platform throughput, latency, and cost per document, including capacity headroom, token efficiency, and model routing and failover across regions.
Partner with product teams to shape APIs and bring new models and capabilities to production safely, including in government cloud environments.

Core requirements

3+ years designing, building, and operating cloud-native, distributed systems.
Hands-on experience with APIs, event-driven architecture, and data platforms.
Comfort developing cloud-based, distributed services.
Ability to write clean, maintainable, well-tested code using modern tooling and CI/CD.
Security- and reliability-focused mindset with strong cross-functional collaboration across engineering, product, and design.
Proficiency in Python and/or C#/.NET, with production experience running services on Kubernetes in a major cloud.
Track record of debugging and improving production systems, including distributed tracing, metrics, and comfort owning a service others depend on, including on-call.

Technologies you’ll likely use

Python
C#/.NET
Kubernetes
CI/CD
APIs
Event-driven architecture
Distributed tracing
Metrics

Compensation and benefits

Expected salary range: $103,000 to $155,000 per year.

Competitive salary
Health and retirement programs
Wellness resources
Discretionary time off (DTO)
Parental leave for primary and secondary caregivers
Two annual company breaks
Home office stipend
Equity program
Annual performance bonus
Long-term incentives

Location and work setup

Illinois (hybrid)

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3mo ago

AI Engineer

Dechert LLP Philadelphia, PA

Philadelphia, PA

3mo 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 focuses on designing, building, and deploying secure AI powered solutions that enhance the delivery of legal services and improve firm operations. This position collaborates closely with attorneys, practice groups, and business-services teams to translate workflows into effective AI and automation outcomes.

Location

Philadelphia, PA (onsite)

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 results.
Lead technical discovery sessions and evaluate business problems for AI, automation, workflow optimization, integration opportunities, and custom applications.
Rapidly prototype and develop proof-of-concept and pilot solutions using approved AI platforms, APIs, low-code tools, workflow automation platforms, and custom development technologies.
Build secure AI enabled applications, including generative AI assistants, document and knowledge search solutions, retrieval augmented generation, workflow copilots, intelligent agents, and decision support tools.
Develop and maintain integrations among firm applications, document repositories, knowledge systems, data platforms, collaboration tools, and approved third-party services.
Design AI solutions with attention to 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 ensure solutions meet global standards prior to production deployment.
Assess and select technical approaches based on business value, complexity, data sensitivity, scalability, supportability, and time to value.
Create reusable components, integration patterns, prompt libraries, evaluation methods, documentation, and technical standards to accelerate future AI and automation delivery.
Conduct testing, quality assurance, user acceptance testing, model evaluation, and performance monitoring for AI enabled solutions.
Define and track solution success metrics such as 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, operations, or enterprise development teams with clear ownership and lifecycle plans.
Monitor deployed solutions for performance, reliability, adoption, model behavior, security concerns, and opportunities for iterative improvement.
Stay informed on AI engineering practices, legal industry AI use cases, emerging tools, governance requirements, and technology trends.
Participate in intake prioritization, solution estimation, roadmap planning, vendor evaluations, and innovation portfolio reporting.
Partner 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 field, or an equivalent combination of education and experience.
Minimum of 5 years of experience in software engineering, application development, automation, systems integration, data engineering, or related technical roles.
Experience with cloud platforms such as Microsoft Azure or Amazon Web Services.
Experience with enterprise integrations, APIs, identity and access management, secure development practices, and application lifecycle management.
Proven ability to work with cross functional stakeholders and deliver technology solutions from discovery through production deployment.

Technologies

Python, JavaScript/TypeScript, C#, ASP.NET Core, SQL
Microsoft Azure, Amazon Web Services
Azure/OpenAI, Large Language Model (LLM), 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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5mo ago

Senior Software Engineer - Legal & Compliance (AI)

The Travelers Companies, Inc. Hartford, CT

Hartford, CT

5mo ago Closed

$139k - $230k/yr Full time Backend Developer Ai Workflows API

This position is no longer accepting applications (closed Jun 23, 2026).

Job Description

On site in Hartford, CT, this Senior Software Engineer role centers on GenAI solutions for Legal and Compliance within Travelers Corporate Technology. You will design, build, and deliver AI powered solutions while guiding technical direction across the team. The position offers a salary range of USD 139,400 to 230,000 per year and a benefits package that supports health, retirement, wellness, and community involvement.

Benefits

Health Insurance
Retirement
Paid Time Off
Wellness Program
Volunteer Encouragement

Responsibilities

Familiarity with AI use cases common to Legal and Compliance environments including contract analysis, eDiscovery, legal hold automation, regulatory research, and policy Q&A
Advances and aligns the teams to enterprise standards and practices (AWS tag compliance, Semantic Versioning, API Governance compliance, Source code management, TDD, Code quality checks, Dependency management, Security and secrets management, Site reliability engineering)
Implements and expands test automation providing direction and input into overall quality needs
Demonstrates asset ownership and leadership of operational excellence
Leads stakeholder conversations with partnership and understanding of business problems
Communicates effectively and concisely with all team members and describes technology concepts in ways the business can understand their value
Identifies learning opportunities and needs in connection with strategic imperatives for team members
Takes the lead on directing and implementing solutions to moderately complex, loosely scoped problems that are aligned with team goals
Delivers efforts both independently and by leading other team members
Leads investigation and resolution efforts for critical, high impact problems, defects, and incidents
Acts as a technology advocate, independently seeking opportunities where technology can be utilized to improve the business
Provides technical guidance and mentorship while fostering a team environment
Applies knowledge of current industry trends and techniques to formulate solutions within the context of assigned efforts
Seeks opportunities to expand technical knowledge and capabilities
Performs other duties as assigned

Requirements

Hands-on experience building and deploying AI solutions end-to-end, including model integration, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, and LLM orchestration frameworks (LangChain, LlamaIndex, or similar)
Proficiency with AWS services commonly used in AI workloads — Bedrock, SageMaker, Lambda, S3, Step Functions, and API Gateway — to build scalable, event-driven AI solutions
Proficiency with AI model APIs and SDKs (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock) and experience evaluating, fine-tuning, or adapting foundation models for domain-specific use cases
Experience designing and implementing AI agent workflows, including tool use, memory management, and multi-step reasoning patterns
Ability to instrument AI systems with observability tooling to track model performance, drift, token costs, latency, and output quality in production
Familiarity with prompt versioning, evaluation frameworks, and A/B testing strategies specific to generative AI systems
Experience integrating AI capabilities into existing enterprise platforms and workflows (document management systems, case management tools, workflow automation) via APIs and microservices
Deep understanding of data privacy and security controls specific to AI systems, including PII detection and masking, input/output filtering, and access-controlled knowledge bases
Awareness of emerging AI governance frameworks and enterprise AI policy requirements, with the ability to build guardrails and audit trails into AI solutions from the ground up
Proven record of collaborating on technical solutions with engineers at varying levels of knowledge
Interest in sharing knowledge to build engineering talent and strength within a team
Understanding and interest in applying engineering and industry best practices to technical solutions
Domain expertise with the ability to develop business partnerships and influence priorities by aligning with current objectives and industry trends
Problem solving skills that rely on data and proofs of concepts to create creative, measurable improvements
Strong communication skills to describe technology concepts to business stakeholders and document initiatives clearly
Advanced leadership skills with the ability to take action and influence team members

Technologies

LangChain
LlamaIndex
AWS Bedrock
SageMaker
Lambda
S3
Step Functions
API Gateway
OpenAI
Anthropic
Azure OpenAI
RAG architectures

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