AI Market Intelligence
Multi-agent AI research.
An internal tool at DreamLegal for legal tech vendors who need competitive intelligence on their market.
6
Parallel AI agents
Real-time
Streamed results
Live
Internal tool at DreamLegal
5
Technologies in the stack
Competitive research was slow and expensive: someone had to manually check competitors, market news and product changes, then stitch it into something useful.
- Role
- Built from scratch
- Industry
- AI · Legal tech
- Services
- AI & Automation
- Stack
- Next.jsClaudeSSE streamingPrismaPostgreSQL
How it was
engineered.
- 01
Split the research into independent jobs, each handled by its own AI agent.
- 02
Ran the agents in parallel instead of one long prompt, so results arrive faster and each agent stays focused.
- 03
Streamed results to the browser as they arrive (server-sent events), so users see progress immediately instead of waiting.
- 04
Stored results in PostgreSQL so research can be revisited and compared over time.
Features
shipped.
Multi-agent orchestration
Six specialised agents covering competitors, market news and product data.
Real-time streaming
Results stream to the UI as each agent finishes.
Research history
Results persisted with Prisma and PostgreSQL for later review.
Where it
stands today.
6
Parallel AI agents
Real-time
Streamed results
Live
Internal tool at DreamLegal
Related services
Other
case studies.
Want something
built like this?
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- Response time
- Within 4 hours
- Location
- Agra, India — worldwide
- Engagement
- Project, retainer or equity
- First call
- Free · 30 minutes