#36 LawLink Agent – Autonomous Legal Lead Outreach for 2C

💡 Inspiration

Traditional B2B lead-gen agents are everywhere — but 2C (consumer-facing) lead-gen remains reactive and manual. We wanted to build an autonomous outreach agent that monitors real-time platforms (like Reddit), understands when people need help, and proactively connects them with professionals — starting with legal services.

⚙️ What it does

LawLink Agent is a full-stack AI agent that:

Scrapes social platforms for posts asking legal help (e.g., “I’m getting evicted — help!”)

Uses an LLM to extract location and legal issue

Matches the user with a lawyer from a mock database

Generates and posts a helpful, personalized comment

Logs responses, tracks engagement, and learns over time which message styles work best

It’s a self-improving 2C outreach system that acts autonomously and adapts in real-time.

🛠️ How we built it

Apify to scrape Reddit posts mentioning legal problems

Stack AI / Airia to run the agent logic:

LLM extraction of location + issue

Matching to lawyer from mock DB

Message generation using template scoring

Zapier + Google Sheets to automate input/output flow

Manual/console feedback simulation to represent reactions

Designed for future plug-in with Reddit API, Discord, or email for outbound

🧱 Challenges we ran into

Reddit API limits prevented full automation of posting (we simulated the outreach step)

Matching fuzzy legal issues to specialties proved trickier than expected

Looping back success metrics (user reaction) into message optimization in real-time was tough in 3 hours

🏆 Accomplishments that we're proud of

Built a fully autonomous MVP pipeline: scrape → analyze → match → outreach

Created a clean self-improving message generation system (template ranking)

Demonstrated 2C lead-gen automation using current tools — without custom backend

📚 What we learned

2C lead-gen requires empathy in tone and relevance — message quality matters as much as timing

LLMs can accurately extract structured intent data from noisy user-generated text

Agent-based systems need real-world constraints (platform limits, cold outreach rules) baked in early

🔮 What's next for LawLink Agent

Add full posting and DM automation using Reddit/Discord/Twitter APIs

Plug into real legal networks via email or SMS for handoff

Implement active learning — letting the agent test different tones, calls-to-action, and match criteria

Extend beyond legal: healthcare, immigration, education — anywhere people ask for help online

Built With

• airia
• apify
• stackai