Robin AI · 2022
As part of our commitment to enhancing user experiences through innovative technology, we embarked on a project to transform the way users interact with our Query feature. The goal was to leverage Generative AI to enable natural language querying, simplifying the process while maintaining accuracy and efficiency. This case study delves into our journey, challenges, solutions, and the positive impact on our users.
The key decision
Legal teams needed the power of advanced filters, but rigid query builders created steep learning curves and failed searches during contract review. A chat-only replacement risked hiding the precision reviewers still required.
We replaced the query builder with natural language input and progressive disclosure: power-user filters stay one click away, not buried behind syntax.
The system
How it worked
User describes what they need in plain language
System maps intent to structured query parameters
Advanced filters surface progressively when precision is required
User reviews results, refines, and shares findings
Validation & rollout
Visuals
