LawParVilla
Overview
LawParVilla turns Singapore’s 50-page “Guide for Using Generative AI in the Legal Sector” into an interactive, story-led game so that lawyers actually learn and apply the guidelines instead of letting the PDF sit unread.
The deployment tackles a growing challenge in Southeast Asia: how to drive responsible AI adoption in professions that are time-poor, risk-aware, and still reliant on traditional documents for critical guidance. In just a few clicks, lawyers experience real-world AI dilemmas, make decisions, and see consequences inside a culturally familiar “Ten Courts of AI Knowledge” narrative inspired by Singapore’s Haw Par Villa.
Deployment
LawParVilla is a web-based, AI-native learning experience that reimagines a dense legal AI guideline as a game built around ten interactive “courts,” each representing a real dilemma from Singapore’s Ministry of Law guide, such as hallucinations, confidentiality, client transparency, and professional responsibility. Players progress by answering scenario-based questions correctly, earning Court Knowledge Points, and crossing the Golden Bridge, turning abstract policy into concrete decisions and memorable consequences.
The deployment combines large language models and regional AI (including AI Singapore’s SEA-LION) to craft culturally grounded narratives and prompts that resonate with Singapore and Southeast Asian legal audiences. It also includes an “Ask Your AI About It” mode, which loads the MinLaw guide as AI-ready context into a popular chat interface that users are already familiar with, making the entire policy AI-queryable for users who prefer direct Q&A over gameplay. This is an example of how government agencies may consider delivering critical content in formats that are not just available for humans but for their AI tools too.
Behind the scenes, LawParVilla runs on an AI-assisted development pipeline that has been perfected at inloop.studio for rapid build-outs of business applications in Private Equity firms but applied for this community led initiative with set of open source tools that can serve as Sovereign AI Stack for Singapore based firms. SEA-LION allowed the Inloop Studio team to go from concept (when the guide was released on 6 March) to high conviction and live deployment by 10 March. SEA-LION played a critical role in checking the cultural sensitivity and relevance of content to Singapore based legal professionals.
Conclusion
Within days of launch, LawParVilla provided lawyers in Singapore and the wider ASEAN region with a practical, engaging way to internalise AI responsibilities without reading through 50 pages of policy text. Early responses from the legal and AI communities highlight its value as a model for how governments and institutions can communicate AI policy in more interactive, AI-native formats.
Next, the team aims to deepen the content (e.g., more nuanced scenarios, potential CPD-aligned modules), strengthen partnerships with legal institutions and bar associations, and explore adapting the format for other sectors and jurisdictions in Southeast Asia. The broader vision is simple: if the goal is responsible AI adoption, then guidance should be interactive, AI-ready, and rooted in local culture, not just published as static PDFs.
About the team
LawParVilla was created by Sneha Ravindra, a Singapore-based product manager and UX enthusiast, in collaboration with Inloop Studio. Sneha specialises in AI-native products and rapid prototyping, and built the first version of LawParVilla in four days using AI-assisted development tools and reusable product primitives.
Inloop Studio supported the initiative by validating the concept, providing product and technical backing, and helping turn a solo experiment into a polished, deployable experience. The team is motivated by a shared belief that policy, especially around AI, should be experienced rather than merely read and that Southeast Asia deserves AI tools and narratives that reflect its own cultures, stories, and regulatory priorities and strongly advocates for a Sovereign AI Stack
Connect with Sneha on Linkedin, read an in depth story of how this was built here or reach out to inloop.studio.

