The AI Solutions Analyst supports the firm’s responsible adoption and effective use of artificial intelligence by identifying high-value use cases, analyzing business processes and data, evaluating AI-enabled solutions, and translating business needs into practical requirements and measurable outcomes. The role partners with attorneys, business professionals, Information Systems, Information Security, and other stakeholders to design, test, document, and improve AI workflows while protecting client confidentiality, firm information, and professional obligations. The position combines business analysis, data analysis, prompt and workflow design, solution evaluation, governance support, and user enablement.
Principal Duties and Responsibilities
- Partner with attorneys and business professionals to identify, define, and prioritize AI use cases that improve service delivery, knowledge access, productivity, and operational efficiency.
- Conduct discovery sessions, document current-state and future-state workflows, and translate business objectives into clear functional requirements, user stories, acceptance criteria, and success measures.
- Analyze structured and unstructured information to identify patterns, process gaps, quality issues, and opportunities for automation or AI-assisted decision support.
- Design, test, and refine prompts, prompt libraries, reusable workflows, and human-in-the-loop processes for approved generative AI tools and other AI-enabled platforms.
- Develop and execute evaluation plans for AI outputs, including relevance, accuracy, completeness, consistency, citation quality, usability, and failure-mode analysis.
- Create representative test sets and scoring rubrics; document results and communicate findings, limitations, risks, and recommendations to technical and nontechnical stakeholders.
- Coordinate pilots and proofs of concept from intake through testing, feedback, launch readiness, adoption, and post-implementation review.
- Support configuration and administration of approved AI solutions, including access controls, workspace design, knowledge-source selection, usage guidance, and issue triage.
- Work with Information Security, Privacy, Risk, Records, Legal Ethics, and other control functions to ensure AI use aligns with firm policies, client obligations, confidentiality requirements, and applicable governance standards.
- Maintain an inventory of AI use cases, tools, owners, data sources, dependencies, risks, controls, decisions, and outcomes.
- Monitor solution quality, adoption, user feedback, cost, and operational performance; identify trends and recommend improvements or corrective actions.
- Prepare dashboards, reports, presentations, and executive-ready summaries that communicate program status, benefits, risks, and key decisions.
- Develop user guides, standard operating procedures, and reference materials for AI solutions, while partnering with designated training resources on formal training development and delivery.
- Facilitate demonstrations, office hours, and user support sessions; assist designated training resources with role-based AI education and adoption
- Collaborate with vendors and internal technical teams on product evaluations, release reviews, integrations, testing, incident resolution, and roadmap planning.
- Stay current on developments in generative AI, machine learning, legal technology, information governance, and responsible AI; translate relevant developments into practical guidance for the firm.
- Participate in incident response, root cause analysis, audit support, and continuous improvement activities related to AI-enabled services.
- Perform other duties and contribute to Information Systems projects as assigned.
Position Specific Skills and Requirements
- 3+ years of experience in business analysis, data analysis, legal technology, product analysis, knowledge management, consulting, or a related role; experience supporting AI-enabled solutions strongly preferred.
- Demonstrated ability to analyze business processes, elicit requirements, map workflows, and convert ambiguous needs into structured recommendations and deliverables.
- Practical experience with generative AI tools, prompt design, retrieval-based workflows, output evaluation, and human review practices.
- Working knowledge of AI concepts, including large language models, machine learning fundamentals, model limitations, hallucinations, bias, grounding, evaluation, and responsible AI controls.
- Strong analytical skills, including the ability to work with qualitative and quantitative information, define metrics, interpret results, and produce clear conclusions.
- Experience with data preparation, data quality assessment, taxonomy or metadata, and reporting or visualization tools.
- Proficiency with Microsoft 365; experience with Microsoft Copilot, Power Platform, SharePoint, Teams, Excel, Power BI, or Azure AI services is preferred.
- Ability to understand and document integrations, data flows, permissions, information sources, and solution dependencies in partnership with technical teams.
- Knowledge of information security, privacy, confidentiality, records management, and governance considerations associated with enterprise AI use.
- Excellent written and verbal communication skills, including the ability to explain technical concepts, limitations, and risks to nontechnical audiences.
- Strong facilitation, stakeholder management, organization, and documentation skills.
- Ability to manage multiple workstreams, prioritize effectively, exercise sound judgment, and deliver high-quality work in a fast-paced environment.
- Careful attention to detail, intellectual curiosity, and a disciplined approach to testing, validation, and continuous improvement.
- Experience in a law firm, professional services environment, or other confidentiality-sensitive organization is preferred.
Education and General Requirements
- Bachelor’s degree (BA or BS) in computer science, information systems, data science, analytics, engineering, business, library or information science, or a related field required, or equivalent professional experience.
- Relevant certifications or coursework in artificial intelligence, data analytics, business analysis, Microsoft technologies, information governance, privacy, or security are preferred.
- Attributes expected include integrity, discretion, reliability, initiative, sound judgment, attention to detail, and a continuous improvement mindset.
- Ability to work independently and collaboratively within cross-functional teams.
- Ability to meet deadlines and effectively complete both operational and project-based work.
- Strong service orientation and the ability to interact effectively with personnel at all levels.
On site currently three days a week during normal working hours and available as necessary before or after normal working hours to work at the Firm, over the telephone, or at off-site meetings, in order to meet the demands of the job and the needs of the Firm. Expected to carry a wireless email device and respond when necessary.
Travel Requirements
Ability to engage in occasional off-site travel as required to meet business and operational needs.
The firm is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, national origin, age, disability, or protected veteran status.