Modern legal research platforms are increasingly powered by sophisticated data pipelines and AI capabilities, yet most attorneys only interact with the finished product. Understanding what’s “behind the curtain” is critical for evaluating tool reliability, spotting potential risks, and using these systems effectively.
In this CLE, legal tech founder Nirbhay Bakshi provides an insider’s view of how legal research platforms are built. Through a step-by-step, slide-supported walkthrough, attendees will see the entire process—starting from raw legal data, moving through the processing and enrichment stages, and ending with an AI-driven search interface.
Participants will:
- Understand data sourcing: Learn where legal research platforms acquire data and how it’s standardized, cleaned, and prepared for use.
- Explore the processing pipeline: See how raw data moves through parsing, metadata tagging, and indexing for optimal search performance.
- Learn the AI search layer: Understand how natural language queries are interpreted, matched, and answered, including retrieval-augmented generation (RAG) techniques.
- Review accuracy and safety checks: Examine safeguards against hallucinations, bias, and incorrect outputs.
Speaker: Nirbhay Bakshi | Co-Founder, The Precedent
Moderator: Oliver Roberts | Co-Director, WashU Law AI Collaborative
Eligible for FREE MO MCLE in Missouri, courtesy of WashU Law. Not eligible for CLE in other jurisdictions, but all are welcome to attend free for non-CLE credit.
Register here
Hosted by: WashU Law — AI Collaborative “AI Policy Series”