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# AI Adoption Strategist

- **Company:** THE PHOENIX
- **Location:** Mundelein, IL, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Microsoft Windows, Active Directory, Artificial Intelligence, Backup Devices, Microsoft Online Services, Data Governance, Data Security, Desktop Computing, Document Management Systems, Disaster Recovery, Multi-Factor Authentication, VMware ESX Servers, Knowledge Management, System Center Configuration Manager, Citrix Systems, Azure Active Directory, Anti-Phishing, Microsoft Copilot, Microsoft SharePoint, Software Deployment, VMware Infrastructure, Virtual Machines, Data Processing, Prompt Libraries, Large Language Models, Prompt Engineering, Generative AI, Microsoft InTune, Microsoft Onedrive, AI Platforms, Vcenter, Patch Management, Claude, Network Server, GPT, Software Version Control, Automation Anywhere, User Administration, Unified Endpoint Management
- **Published:** November 12, 2026
- **Apply:** https://www.thejobnetwork.com/job/09df2e8f-4df1-4579-8e95-68353fc235f7/ai-adoption-strategist

## About the Role

* 3+ years of experience implementing artificial intelligence or legal technology solutions in a law firm, corporate legal department, litigation support, legal operations, knowledge management, or related professional services environment.
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 * Hands-on experience with large language model (LLM) and generative AI platforms such as ChatGPT Enterprise, Microsoft Copilot, Claude, Harvey, CoCounsel, or comparable legal AI tools.
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 * Demonstrated prompt engineering experience, including building, testing, refining, and deploying reusable prompts and AI-assisted workflows; not limited to end-user familiarity.
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 * Working knowledge of transactional real estate and/or civil litigation workflows sufficient to identify practical use cases and evaluate output quality.
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 * Experience with Microsoft 365 administration, including Exchange Online, Teams, SharePoint, OneDrive, and Intune.
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 * Experience managing Active Directory or Azure AD users, groups, permissions, and access controls.
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 * Hands-on experience with Citrix virtual applications and desktops, VMware ESXi/vCenter, and Microsoft SCCM for imaging, software deployment, and patch management.
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 * Working knowledge of endpoint security, multi-factor authentication, conditional access, patching, backups, and disaster recovery.
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 * Understanding of confidentiality, attorney-client privilege, work-product protection, data security, and risk considerations related to AI use in legal environments.
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 * Excellent written, verbal, training, and stakeholder communication skills, with the ability to support senior attorneys, associates, paralegals, and staff.
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 * Strong project management, prioritization, and organizational skills with the ability to manage concurrent AI adoption, workflow development, training, and systems administration initiatives.
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## Description

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 * Design, build, test, maintain, and improve AI-assisted workflows for lease and purchase-and-sale agreement (PSA) review, loan document comparison, title and survey exception summaries, closing checklists, diligence memoranda, and related transactional processes.
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 * Develop AI workflows supporting deposition and document review, chronology and timeline creation, legal research synthesis, motion and brief drafting assistance, and e-discovery.
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 * Create, test, document, and version-control prompt libraries, reusable templates, and attorney-ready workflows tailored to transactional real estate and litigation matters.
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 * Integrate AI tools with document management systems (DMS), iManage or equivalent platforms, billing and time-entry systems, contract lifecycle management tools, and other practice technologies when appropriate.
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 * Train attorneys, paralegals, and staff on prompt engineering, AI capabilities and limitations, practical legal use cases, and responsible adoption.
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 * Create user guides, quick-reference materials, recorded training sessions, and onboarding resources; conduct office hours and provide ongoing support.
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 * Advise attorneys and staff on when AI use is appropriate, how to validate results, and when traditional legal workflows are more suitable.
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 * Support confidentiality, attorney-client privilege, work-product protection, joint-defense and common-interest considerations, and secure handling of client data in AI workflows.
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 * Monitor applicable professional responsibility requirements, bar guidance, and court-specific AI disclosure or certification rules affecting legal work.
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 * Implement quality-control and verification procedures to identify hallucinated citations, inaccurate facts, unsupported calculations, and other unreliable AI-generated content.
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 * Partner with IT, security stakeholders, vendors, procurement, and firm leadership to evaluate AI data handling, retention, training-on-customer-data practices, access controls, data residency, indemnification, and intellectual property terms.
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 * Evaluate legal AI platforms through pilots and structured comparisons focused on cost, accuracy, security posture, integration requirements, and business value.
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 * Manage relationships with legal technology and AI vendors, coordinate pilot scope, and monitor the market for emerging solutions in real estate and litigation.
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 * Track AI adoption, utilization, time savings, quality outcomes, and return on investment (ROI); report findings to management and refine workflows based on attorney feedback.
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 * Administer Active Directory and Azure Active Directory (Azure AD) accounts, groups, permissions, and access controls.
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 * Manage Microsoft 365 administration, including Exchange Online, Microsoft Teams, SharePoint, OneDrive, Intune, and related tenant services.
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 * Administer Citrix virtual applications and desktops, published applications, session hosts, and secure remote or hybrid access.
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 * Support VMware virtual infrastructure, including ESXi, vCenter, virtual machine provisioning, monitoring, and maintenance.
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 * Use Microsoft Endpoint Configuration Manager (SCCM) for operating system imaging, application deployment, endpoint configuration, and patch management.
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 * Apply operating system and software updates across endpoints and core servers; maintain endpoint management and mobile device management (MDM) tools.
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 * Support data backup and disaster recovery processes, including restore testing and documentation.
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 * Maintain antivirus and endpoint detection and response (EDR) tools, multi-factor authentication (MFA), and conditional access policies.
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 * Support phishing simulations, security awareness programs, and employee training initiatives.
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 * Identify and escalate security, compliance, and access-control risks related to AI deployment and firm systems.
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 * Manage multiple AI workflow, training, vendor evaluation, systems administration, and security initiatives while prioritizing competing business needs.
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