Building an AI Legal Research Assistant

The Challenge

The business had outgrown its own infrastructure. The website went down during peak traffic, the CRM could not handle the volume of new contacts, and internal reporting took two weeks to compile. Something had to change before the next growth phase.

Our Approach

Research, Analysis, and Strategic Foundation

• Ran a market analysis covering target segments, competitor positioning, and where the real growth opportunities were
• Built customer personas from behavioral data, 20+ interviews, and third-party research
• Mapped the full customer journey and flagged the specific steps where people dropped off or got stuck

Design, Development, and Implementation

• Redesigned the key user flows based on the research findings, cutting three unnecessary steps from signup
• Built a testing framework so the team could ship changes weekly instead of monthly
• Added personalization based on what users actually did in the product, not just demographics
• Created dashboards that gave the leadership team a clear picture without requiring a data analyst to interpret them

Launch, Optimization, and Scale

• Launched acquisition campaigns on the two channels that testing showed worked best
• Built automated email sequences that moved prospects forward based on what they clicked and downloaded
• Set up a referral program that rewarded existing customers for bringing in new ones
• Created a content strategy targeting the specific search terms that potential buyers were using

Key Takeaways

1. When marketing, sales, and product all tracked different numbers, every meeting turned into a debate about whose data was right. Agreeing on metrics first eliminated that.
2. Translating the website was not enough. Each market needed different pricing anchors, different trust signals, and sometimes a completely different value proposition.
3. The organic content we published in month two was still generating leads eight months later. Paid campaigns stopped the moment we stopped paying for them.
4. The single biggest ROI came from fixing the user experience. Removing two unnecessary steps from the signup flow improved every downstream metric.
5. Talking to customers every two weeks caught problems that the analytics dashboards missed entirely. Qualitative and quantitative data tell different parts of the story.

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