AI Solutions Architect

Job Summary

Hinshaw & Culbertson LLP is a national law firm headquartered in Chicago, with approximately 600 lawyers. Founded in Chicago in 1934, the firm now has 27 offices in 17 states.

AI Solutions Architect — The AI Solutions Architect is responsible for maximizing the business value of the firm’s investments in artificial intelligence by identifying, designing, delivering, and ensuring adoption of AI and automation solutions that enhance legal workflows, client service, and operational efficiency. Reporting to the Chief Information Officer (CIO), this role provides technical leadership in the adoption of AI technologies and works closely with attorneys, practice support, knowledge management, risk management and compliance, and business teams to translate the firm’s strategy into secure, scalable, and responsible AI capabilities.

The AI Solutions Architect will optimize and integrate the firm’s existing AI platforms (e.g., Microsoft 365 Copilot, Copilot Studio, Harvey, Lexis Nexis Protégé) and evaluate emerging AI agents and large language model (LLM)–based tools. The goal is to deliver measurable improvements in productivity, work product quality, and innovation that keep the firm competitive, while rigorously managing the unique risks and ethical considerations of AI in a legal environment.

• Identify high-impact use cases:
  Identify, evaluate, and prioritize high-impact AI use cases that improve legal service delivery, internal operations, and client value – focusing on solutions that drive measurable improvements in efficiency, quality, and competitive advantage.
• Architect and implement AI solutions:
  Design and lead the architecture, selection, and implementation of AI and workflow automation solutions across the firm. This includes deploying and configuring tools like Microsoft 365 Copilot and Copilot Studio, developing agentic AI workflows (i.e. AI “agents” that perform tasks), and integrating various AI products into cohesive systems.
• Lead AI platforms integration:
  Serve as the firm’s technical lead for commercial legal AI platforms (e.g., Harvey, Lexis Nexis Protégé, and other AI solutions), ensuring they are effectively integrated into practice workflows and fully leveraged by attorneys and staff.
• Translate requirements to design:
  Translate legal and business requirements into scalable, secure, and compliant AI solution designs aligned with firm-wide risk governance and security standards. Ensure all AI initiatives adhere to the firm’s data governance, privacy, security, and responsible AI policies to mitigate risks associated with AI adoption in legal matters.
• Optimize AI investments:
  Optimize and rationalize existing AI and automation investments to maximize return on investment (ROI). Recommend enhancements or consolidation of tools to reduce duplication and focus resources on high-value, proven solutions (while eliminating low-value efforts).
• Pilot new AI capabilities:
  Pilot and operationalize new AI capabilities in collaboration with attorneys, Practice Support, Knowledge Management, Risk Management, and Business Services teams. Oversee prototypes and proof-of-concepts from development through production deployment and firm-wide rollout.
• Drive user adoption & training:
  Drive user adoption and change management for new AI tools by developing training programs and user guides. Ensure attorneys and staff learn to use AI technologies effectively and responsibly (for example, by mentoring “AI champions” within practice groups).
• Measure impact & iterate:
  Define and track key performance metrics (e.g., adoption rates, usage, efficiency gains, quality improvements, ROI) to measure the impact of AI initiatives. Use data-driven insights to refine solutions and clearly demonstrate value to stakeholders.
• Governance & risk management:
  Establish and enforce AI governance and risk management practices in partnership with the CIO, Office of General Counsel, Risk Management, and Information Security. Develop policies and controls for ethical and responsible AI use, addressing concerns like data privacy, client confidentiality, model bias, and compliance with legal industry…