Web Application

Loom Analytics

2017
Released
Loom Analytics

A web-based legal analytics search engine designed for lawyers, paralegals, and judges, enabling users to explore complex case law databases and build research collections for active matters. By combining direct legal analysis with machine learning-driven data, Loom helped accelerate case law research and surface insights such as win/loss ratios, judge rulings, litigation trends, and case summaries.

Challenge

Make a deep, ML-backed case law analytics platform usable for working lawyers, paralegals, and judges — surfacing win/loss ratios, judge rulings, litigation trends, and case summaries through a research-collection workflow that fit naturally into how legal professionals already work.

Solution

Acted as Principal Investigator and UX Designer: developed a UX diagram and structural flow for the web application, provided graphic direction for the product interface, contributed to corporate branding and visual identity, and helped shape how complex legal analytics data was presented for research use.

Outcome

Helped Loom Analytics relaunch a complex legal analytics search engine for an expanding client user base, with a UX direction designed to scale across lawyers, paralegals, and judges.