Expert Systems

Expert systems are software platforms that let a subject matter expert encode specialized knowledge into structured, reusable logic that people without that expertise can apply on their own. Most platforms are low-code or no-code, built around question and answer or if-then decision tree logic, with a graphical, drag-and-drop interface for designing question flow and branching rules so that little to no custom coding is required, though more complex builds may still draw on some coding for edge cases or system integrations. Common use cases include intake and triage, where a guided interview gathers information and routes a matter based on set criteria, walking a user through jurisdiction specific rules or a regulatory determination, simplifying complex document assembly by deriving detailed answers from a series of simpler questions, and quickly building proofs of concept before investing in more custom development. Because these platforms trade some flexibility for speed, benefits include a lower technical lift and faster development, though solutions are constrained by the platform's built in feature set and can be harder to test, document, and manage through change compared with fully custom coded systems. Generative AI is increasingly layered onto these platforms, letting natural language prompts help configure logic and allowing AI models to handle certain steps within an otherwise rules based workflow, without removing the underlying decision tree structure.