AI-Powered Search Assistant
Multi-agent CrewAI system that cuts research time from 4 hours to 45 minutes.
50%
Faster results
4hr→45min
Research time cut
8 users
Daily active team members
The Problem
What needed to change
A legal firm's research team spent 3–4 hours daily searching through case databases, news archives, and internal documents. Results were scattered across tools, often duplicated, and required manual curation before they were usable — an expensive bottleneck for senior associates.
The Solution
How we built it
Built a CrewAI-based multi-agent system where a planner agent decomposes queries, retriever agents search multiple sources in parallel (web, internal docs, legal databases), and a synthesiser agent produces a ranked, de-duplicated summary with citations and confidence scores.
The Results
What it delivered
- Research time cut from 4 hours to under 45 minutes per task
- 50% faster result organisation compared to manual methods
- Integrated seamlessly with Google Drive, Notion, and custom internal APIs
- Adopted by entire 8-person research team within first week with zero downtime
More Projects
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