bridge legal
overview
Bridge Legal is a tech company streamlining complex workflows in legal and financial industries. As the company expanded into litigation finance, I led the end-to-end design of a web platform to simplify fund management experience, automating manual workflows through features such as data visualization, loan progress tracking, and scenario prediction.
This project successfully enabled Bridge Legal to enter the litigation funding business and drove adoption of 5 enterprise clients within 1 month of launch.
Apr - Jun 2025 (3 Months)
1 Product Designer (Me)
1 Product Manager
3 Software Engineers
Product Strategy · User Research · IA · Wireframing & Prototyping · Engineering + Sales Handoff
background
Behind many well-known mass tort cases — from defective medical devices to toxic exposure lawsuits — litigation funding companies provide the essential capital that plaintiffs need to pursue claims and win compensation.
Americans are seriously injured by defective products or unsafe drugs every year
capital has been invested in this industry, growing rapidly as more funders enter the space
of claimants in mass tort cases say they couldn't afford litigation costs on their own
problem
Fund managers overseeing litigation loans often handle 40–50 active loans across 5–6 funds, each with its own terms, cashflow models, and risks. But instead of robust systems, most rely on scattered Excel sheets, manual reconciliations, and ad-hoc processes.
“When we get a new loan, we'll have a raw inventory file. It’s super messy. You don't want to work with it — we barely want to work with it.”
— Fund Manager @ Kerberos Capital
challenge
solutions
A cohesive management hub tailored for busy investors and fund managers
Portfolio Overview. Where's my capital, and what's the health of my portfolio?
Short page for quick scanning
Keep all key metrics within a single viewport for rapid scanning and comprehension
Insightful Visualization
Use advanced visualizations to surface risks beyond static charts
Proactive Risk Monitoring
Highlight top 5 weak loans with risk bands and color-coded alerts
Borrower Creation x Progress Tracking. 111
Short page for quick scanning
Keep all key metrics within a single viewport for rapid scanning and comprehension
Insightful Visualization
Use advanced visualizations to surface risks beyond static charts
Proactive Risk Monitoring
Highlight top 5 weak loans with risk bands and color-coded alerts
Scenario Planning x Return Prediction. What if we exited earlier?
Short page for quick scanning
Keep all key metrics within a single viewport for rapid scanning and comprehension
Insightful Visualization
Use advanced visualizations to surface risks beyond static charts
Proactive Risk Monitoring
Highlight top 5 weak loans with risk bands and color-coded alerts
design process
The design phase emphasized developing a user-friendly conversational interface for the chatbot, prioritizing natural and engaging interactions. The goal was to make digital conversations feel personal and supportive, enhancing the overall user experience.
impact
The introduction of the chatbot led to a 20% reduction in customer churn, highlighting the effectiveness of instant, accessible support in enhancing customer loyalty.
The chatbot's success in providing round-the-clock responses improved customer satisfaction levels. Additionally, automating responses to routine inquiries allowed human agents to focus on more complex customer needs, enhancing service quality.
The chatbot integration at Global Bank Corp has effectively addressed key customer service challenges, demonstrating the transformative potential of AI in the financial sector. This project not only improved customer retention and satisfaction but also positioned the bank as a leader in customer-centric innovation.
takeaways
Without prior finance background, I learned the financial logic quickly to design a product funders actually trust.
Diagnose with data, treat with design
By truly understanding how funders measure performance and risks, I built visualizations that truly inform decisions.
Automation streamlined tedious work, letting fund managers focus on strategic decisions — a model of human + AI collaboration.