Jobs at McGuireWoods

Leads lateral non-partner attorney recruiting searches from approval through onboarding. Responsibilities include direct sourcing, candidate screening, pipeline management, interview coordination, search-firm relationship management, offer administration, onboarding support, and collaboration with recruiting managers and attorneys. The role also supports recruiting strategy, uses sourcing and recruiting technologies, manages multiple priorities, and maintains candidate confidentiality and an exceptional recruiting experience.

Coordinates business development activities for a law firm, including directory submissions, ROI reporting, referral and opportunity tracking, collateral and website updates, pitches and proposals, budget support, and professional events. The role requires strong organization, communication, multitasking, deadline management, attention to detail, and proficiency with Microsoft Office and CRM systems.

Coordinates business development activities for a law firm, including directory submissions, ROI reporting, referral and opportunity tracking, pitches and proposals, collateral and website updates, budget support, and events. Requires strong organization, communication, multitasking, editing, deadline management, attention to detail, and proficiency with Microsoft Office and CRM systems.

Supports business development through directory submissions, ROI tracking, referral and opportunity reporting, collateral and website updates, pitches and proposals, budget assistance, and event coordination. The role manages deadlines, editing processes, communications, materials, RSVPs, sponsorships, and attorney speaking engagements while collaborating with lawyers, clients, staff, and service providers.

Designs and maintains the firm’s Data Lakehouse architecture, including data models, integrations, pipelines, mappings, security, governance, and data quality. Translates business and reporting requirements into scalable data solutions supporting business intelligence, analytics, reporting, and AI. Collaborates with database, application, development, and business teams; documents architecture and dependencies; troubleshoots integration issues; evaluates emerging cloud and data technologies; and provides technical guidance throughout implementation.

Develops, integrates, tests, deploys, maintains, and troubleshoots enterprise software across Microsoft platforms. Builds web, desktop, cloud, Microsoft 365, API, and AI-enabled solutions, including generative AI and LLM applications. Gathers requirements from legal and business stakeholders, leads technical project work, supports vendors, improves development standards and roadmaps, and ensures secure, scalable application delivery.

Develops, integrates, tests, deploys, maintains, and troubleshoots enterprise software across Microsoft platforms. The role translates legal and business requirements into secure web, desktop, cloud, API, and Microsoft 365 solutions. Responsibilities include stakeholder and vendor collaboration, technical leadership, application lifecycle planning, and implementation of AI-enabled and generative AI capabilities using LLMs and related technologies. The developer also contributes to standards, architecture, automation, security, modernization, and production support.

Develops, integrates, tests, deploys, maintains, and troubleshoots enterprise software across Microsoft platforms. Translates stakeholder requirements into secure web, desktop, cloud, API, and Microsoft 365 solutions. Builds AI-enabled and generative AI applications using LLMs, supports enterprise integrations, evaluates development standards and technologies, and provides technical leadership across projects. The role also collaborates with vendors, documents systems, supports lifecycle roadmaps, and advises legal and administrative stakeholders.

Designs and maintains the firm’s Azure and Databricks data lakehouse architecture. Translates business, reporting, and integration requirements into scalable data structures, pipelines, connectors, and technical solutions. Establishes data modeling, transformation, security, quality, governance, and lineage practices; integrates enterprise applications and databases; documents architecture and dependencies; supports BI, analytics, and AI initiatives; evaluates emerging technologies; and provides technical guidance to developers, platform leads, stakeholders, and source-system owners.

Owns the enterprise Data Lakehouse platform, including operations, configuration, integrations, data validation, monitoring, vendor management, releases, documentation, security coordination, and lifecycle planning. Translates business data and reporting needs into platform solutions, resolves data and integration issues, coordinates cross-functional initiatives, and provides technical leadership without direct personnel management.

Owns the enterprise Data Lakehouse platform, including operations, configuration, integrations, monitoring, validation, issue resolution, vendor management, releases, documentation, security controls, and lifecycle planning. Translates business and data requirements into platform solutions, coordinates cross-functional technology teams, and ensures reliable support for business intelligence, reporting, analytics, and AI use cases. Provides technical leadership and guidance without direct personnel-management responsibility.

Owns the enterprise Data Lakehouse platform, including operations, configuration, integrations, monitoring, data validation, issue resolution, vendor management, releases, documentation, security controls, and lifecycle improvements. Translates stakeholder requirements into data solutions, coordinates cross-functional technology teams, guides platform initiatives, and ensures reliable support for business intelligence, reporting, analytics, and AI use cases.

Develops, integrates, tests, deploys, maintains, and troubleshoots enterprise software across Microsoft platforms, web, desktop, cloud, and business systems. Translates stakeholder requirements into secure, scalable solutions; builds APIs and Microsoft 365 integrations; supports vendors and production systems; contributes to architecture, standards, roadmaps, and technical leadership. Develops AI-enabled and generative AI applications using LLMs and related technologies to automate workflows and enhance user experiences.

Designs and maintains the firm’s Azure and Databricks Data Lakehouse architecture. Translates business, reporting, analytics, and AI requirements into scalable data structures, integrations, pipelines, and secure data solutions. Evaluates data sources, develops mappings and connectors, applies modeling and data quality practices, documents architecture, resolves integration issues, and guides downstream developers. Collaborates with stakeholders, application owners, database teams, and technology resources while evaluating emerging cloud, analytics, automation, and AI technologies.

Owns the enterprise Data Lakehouse platform, including operations, integrations, validation, monitoring, vendor management, releases, security controls, documentation, and lifecycle improvements. Translates business and data requirements into platform solutions and coordinates stakeholders, technology teams, and vendors. Provides technical leadership for analytics, reporting, business intelligence, and AI use cases without direct personnel management.

Designs and maintains the firm’s Azure and Databricks Data Lakehouse architecture. Translates business and reporting requirements into scalable data models, integrations, pipelines, and secure data solutions. Evaluates data sources, configures connectors, establishes data quality and governance practices, documents architecture and mappings, resolves integration issues, and guides downstream developers. Collaborates with stakeholders and technology teams to support business intelligence, analytics, reporting, and AI initiatives.

Leads business development strategy for the firm’s Corporate and Private Equity practices. Responsibilities include client targeting, business planning, pitches and RFPs, key client programs, lateral integration, rankings submissions, competitive research, events, messaging, CRM management, and cross-functional collaboration. The role also mentors junior colleagues and coordinates initiatives across practices and offices.

Supports attorneys with large-scale eDiscovery document collection, review, production, and case-file management. Maintains and reports on litigation data in Microsoft Excel, including pivot tables, and manages documents through platforms such as Relativity, DISCO, and Reveal. The role is full-time and on-site at the firm’s Richmond eDiscovery center, requiring strong organization, attention to detail, communication, and legal support experience.

Supports corporate practice attorneys and associates with legal and administrative tasks, including preparing documents, managing transaction and corporate matter files, organizing deal documents and electronic closing binders, calendaring, billing and time entry, correspondence, filings, scheduling, travel arrangements, and team coverage. Communicates professionally with clients, vendors, courts, agencies, and firm personnel while maintaining organized records and responding decisively under pressure.

Leads the firm’s brand strategy, positioning, storytelling, reputation, and integrated internal and external communications. Advises leadership, drives brand adoption across the organization, oversees digital and executive communications, modernizes workflows through technology and AI, and manages communications teams, agencies, budgets, governance, and performance measurement.