Legal Operations AI Solutions Architect
Listed on 2026-06-04
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IT/Tech
Data Analyst, Data Scientist
About US:
Foundation AI revolutionizes how law firms manage incoming documents and case files. Our platform automates manual, document-intensive workflows by capturing, classifying, extracting, and integrating information into existing case management systems so legal teams can focus on client outcomes instead of administrative work. Our solutions are especially impactful in high-volume, fast-moving practices such as personal injury, where speed, accuracy, and workflow efficiency matter at every stage of a case.
Top firms nationwide trust Foundation AI to reduce manual work, improve accuracy, and create more efficient legal operations.
Our Culture & Commitment:
We are a growing, mission-driven team passionate about using AI to bring transformative efficiency to the legal industry. We embrace diversity and inclusion, encourage open dialogue, and value a growth mindset. At Foundation AI, you’ll be supported by teammates who value innovation, curiosity, accountability, and continuous learning.
Job Overview:
Foundation AI is seeking a Legal Operations AI Solutions Architect to serve as the internal domain authority for personal injury and adjacent domain workflows, documents, and operational nuances. In this role, you will map real-world personal injury and adjacent domain processes, define business rules and exception handling, curate and validate training data for AI models, help develop cutting edge AI products that drive operational and business value for law firms, and ensure our solutions reflect how firms actually operate.
You will partner closely with Product, Engineering, Data Science/AI, Implementation, Customer Success, and Sales Engineering to drive accuracy, usability, and adoption.
Key Responsibilities:
PI Domain Leadership- Serve as the internal expert on PI workflows: intake, case setup, medical records and bills, treatment tracking, demand prep, negotiation, litigation support, settlement, liens/subrogation, and post-settlement.
- Define and maintain document ontologies, taxonomies, nomenclature, and operating playbooks for firms that reflect jurisdictional and practice-segment model and functional variants.
- Translate firm processes into clear business rules, routing logic, and exception handling.
Customer Discovery and Research
- Conduct interviews, shadowing, and workflow observations with attorneys, paralegals, case managers, intake teams, and operations leaders.
- Research, document, and synthesize state, jurisdictional, and practice area specific processes, nuances, and rules (including those of adjacent practice areas like employment, immigration, and bankruptcy).
- Produce journey maps, SOPs, process flows, and use cases that inform product and implementation.
- Convert customer pain points into structured Product Requirement Documents and success criteria.
- Coordinate with Product Owners, Internal Stakeholders, and Developers to ensure alignment on expectations and outcomes.
AI, Data, and Workflow Automation
- Identify high-value document classifications and automation opportunities (e.g., medical records, bills, correspondence, insurance documents, pleadings, authorizations, settlement materials).
- Create standard model expectations for classification and extraction, and review output to ensure customer expectations.
- Evaluate AI outputs, document edge cases, and provide actionable feedback to AI/engineering teams.
Solution Design and Integrations
- Inform requirements for integrations with leading practice management systems (e.g., Filevine, Litify, Needles, Smart Advocate, CASEpeer, Clio).
- Define configuration templates, queues, SLAs, and routing rules aligned to consumer litigation firm operations.
- Ensure integrations and data mappings account for jurisdiction-specific workflows.
- Advise on insurance-facing workflows, claim tracking, status updates, and external document exchanges.
- Inform expansion opportunities within existing integrations to identify growth opportunities to improve customer value.
Quality Assurance and UAT
- Execute UAT for new features, models, and workflows.
- Validate domain correctness and usability to ensure alignment with real PI firm needs.
- Monitor post-release accuracy and user feedback;…
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