An AI-driven legal research tool that turns a case overview into targeted queries, retrieves matching cases, and rates each precedent for relevance.
Law firms spend hundreds of hours manually searching legal databases for relevant precedents. This client wanted to automate that work with workflow automation and AI.
Challenge
Legal language is nuanced, so keyword searches miss critical precedents or return thousands of irrelevant results. The tool needed to understand a new case's context, formulate search queries automatically, retrieve matching cases, analyze full-text documents, and rate them for relevance.
Solution
We built an AI-powered legal research pipeline:
- Guided Frontend: A step-by-step wizard for uploading case documents and entering an initial case overview.
- n8n Workflow Automation: A backend pipeline orchestrating multi-step AI agents.
- Contextual Query Generation: Automatically rewrites case overviews and generates targeted legal questions to sharpen searches.
- Intelligent Case Rating: Retrieves cases via API, extracts text, and uses LLMs to rate and summarize each case's relevance.
Results
The tool cut case-research time substantially, letting lawyers surface key precedents in minutes instead of days, improving preparation and reducing billable research hours.