McGuireWoods Logo

McGuireWoods

Legal AI Solutions Lead

Posted 2 Days Ago
Be an Early Applicant
In-Office
Charlotte, NC, USA
Mid level
In-Office
Charlotte, NC, USA
Mid level
Leads firmwide legal AI initiatives by identifying use cases, building and implementing AI agents, evaluating emerging solutions, and supporting attorney adoption. Collaborates with attorneys, IT, vendors, and leadership to diagnose technical issues, manage pilots, document use cases, deliver training and content, assess risks, and provide recommendations aligned with the firm’s AI strategy.
The summary above was generated by AI
Overview

McGuireWoods is at the forefront of piloting cutting-edge AI technology that is already impacting law firms in meaningful ways. Our Innovation and AI Department is dedicated to implementing new, powerful AI solutions that enhance our services and deliver value to our clients.


We are seeking a highly motivated and skilled Legal AI Solutions Lead to join our Innovation and AI Department. The ideal candidate will possess strong project management skills, excellent communication abilities, experience with AI, and a solid understanding of the legal industry and law firms. This role will report to and work closely with the Assistant Director on these AI initiatives to accomplish firmwide initiatives. This position is available in the following offices: Charlotte, Richmond, Tysons, Washington DC, New York, Pittsburgh, Chicago, Dallas, Houston. 


McGuireWoods, one of the world’s leading law firms, has provided legal solutions to corporate, individual and nonprofit clients since 1834. Along with excellent benefits, McGuireWoods offers most employees a hybrid remote option allowing flexibility and work-life balance. Our Applicant Disclosures describe your rights. Our Privacy Statement describes how we will process and safeguard your personal data.

Responsibilities
  • Identifies existing work processes that would benefit from AI enhancement and builds agents for use by attorney and business professional teams directly.
  • Evaluates AI use cases and makes recommendations in support of firm AI goals that will influence the strategy of the Innovation & AI department.
  • Collaborates with practice leadership to identify areas within their practice where AI would be particularly useful and designs, builds, and implements those AI solutions.
  • Conducts regular meetings with attorneys to scope complex AI-related challenges and develop tailored solutions for them.
  • Proactively communicates with attorneys, vendors, and the IT department to understand and diagnose use case successes and shortcomings, resolve technical issues related to AI use cases, and deliver constructive feedback to align with firm AI strategy.
  • Anticipates and addresses potential technical challenges around attorney use cases.
  • Develops and executes strategies for driving AI adoption, addressing technical barriers and user experience challenges. Facilitates the continuous improvement of training techniques based on lessons learned.
  • Analyzes new AI functionalities, assessing their technical implications and compatibility with firm systems, and educates attorneys on their use.
  • Creates and delivers short-form content addressing common issues, advanced use cases, and frequently asked questions.
  • Oversees AI pilot onboarding and offboarding of attorneys and business professionals when evaluating new AI technology. Prepares recommendations following pilot evaluations for senior leadership.
  • Ensures that use case information is well documented, including technical specifications and limitations, and escalates findings at team meetings.
  • Manages tasks related to use case testing under project and milestone deadlines.
  • Manages and executes processes pertinent to assessing trends, themes, and issues across use cases, and escalates observations during team meetings.
  • Researches enterprise, specialized, and emerging AI solutions on the market to compare/contrast functionalities and suitability.
  • Provides input and experience to guide firmwide AI decision making, raising awareness of potential technical limitations and risks, as well as opportunities.
  • Assists in collecting information needed to respond to client AI inquiries.
  • Prepares summaries of work that the team has performed, including qualitative and quantitative data.
Qualifications
  • Bachelor’s degree required; JD or other advanced degree preferred. Equivalent combination of education and legal experience may be considered.
  • Requires 4+ years law firm or in-house legal experience.
  • Requires 2+ years of AI experience
  • Experience working with attorneys and familiarity with legal work, combined with a strong understanding of technology, AI, and its applications in the legal field.
  • Ability to establish effective working relationships across organizational boundaries, to include the IT department, legal groups, general counsel and other administrative teams.
  • Ability to multi-task and work in a fast-paced environment.
  • Ability to work under high pressure with tight schedules and deadlines.
  • Excellent communication, customer service and organizational skills.
  • Excellent problem-solving skills and ability to see problems in larger organizational context.
  • Goal oriented and motivated team player with strong conflict resolution skills.
  • Growth mindset with willingness to learn and take direction.
  • Detail oriented.
  • Professional demeanor.
  • Excellent interpersonal skills and patience working with others.
  • Ability to travel or work evenings and weekends when necessary.
  • Capable of grasping new concepts without prior experience.
  • Interest in using innovative AI technology, including Harvey and Copilot, to support efficient high-impact work.

Have more questions? Connect with a recruiter directly. #LI-KB1

McGuireWoods Charlotte, North Carolina, USA Office

Charlotte, United States, 0

Similar Jobs

2 Minutes Ago
Remote or Hybrid
United States
251K-385K Annually
Senior level
251K-385K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Leads the strategy, validation, and safety assurance of Level 3–4 autonomous driving behaviors powered by machine learning. Owns behavior-related safety cases, standards alignment, ODD and evaluation frameworks, safety metrics, launch-readiness assurance, and evidence assessment across simulation, closed-course, and public-road testing. Leads cross-functional technical collaboration and builds a high-performing AV behavior safety engineering team through hiring, coaching, and development.
Top Skills: Ai PlatformAmazon BedrockAmazon S3Amazon SagemakerAvscAWSAzure Data LakeAzure Machine LearningBigQueryClusteringDatabricksDataflowDecision TreesDeep LearningDockerGenerative AiGitGoogle Cloud PlatformIso 21448Iso 5083JavaJIRAKubernetesLangchainLarge Language ModelsAzureMlflowNatural Language ProcessingNumpyPandasPower BIPysparkPythonPyTorchRRagRandom ForestReinforcement LearningScikit-LearnSQLSvmTableauTensorFlowXgboost
2 Minutes Ago
Remote or Hybrid
United States
Senior level
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Design, develop, and operate governed feature engineering pipelines and a shared feature platform for machine learning and advanced analytics. Build scalable transformations using Python, SQL, Spark, and Databricks; establish feature reuse, versioning, train-serve parity, data quality controls, CI/CD, monitoring, and documentation. Collaborate with data scientists, ML engineers, data engineers, and platform teams to deliver reliable production features and resolve pipeline issues.
Top Skills: SparkCi/CdDatabricksDelta LakeDelta Live TablesGitKafkaPandasPysparkPythonSQLUnity Catalog
2 Minutes Ago
Hybrid
Senior level
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead design and development of full-stack .NET solutions and AI-powered agentic workflows. Build RAG/LLM systems, microservices on AKS, ETL with Azure Synapse, integrate enterprise APIs, maintain CI/CD, mentor engineers, and support DevOps/SRE practices.
Top Skills: .Net.Net CoreAksAngularAutogenAzureAzure Ad/Entra IdAzure DatabricksAzure SynapseCi/CdConfluenceCrewaiDockerEmbeddingsGitGithub ActionsJIRAKubernetesLangchainLanggraphLlmMicrosoft GraphModel Context Protocol (Mcp)PostgresPrompt DesignRagRestful ApisSemantic KernelSQL ServerVector DbsVector SearchWorkday

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account