Legal Representation Analytics
A search-and-export feature inside Dockets — Bloomberg Law’s highest-profit product. Shaped with law librarians through research and usability testing.
Fragmented search. Invisible patterns.
Inside Dockets — Bloomberg Law’s highest-profit product — fragmented search and note-taking kept law librarians from getting representation insights they needed for competitive intelligence.
Manual search across dockets to find which attorneys and firms represent which companies, where, and for what.
Results scattered across different tabs — users must manually gather and compare to narrow down findings.
Download, combine, and clean data manually using competitor tools — a slow, error-prone process.
Excessive metadata in the platform — users only need the subset most relevant to their specific research.
One search. All the answers.
A specialized tool inside Dockets: search a company, attorney, or law firm — then customize, filter, and export the full list in one action.
Three ideas that shaped every decision
Starting from user research and usability testing, we distilled the design into three governing principles — each addressing a specific friction point in the existing workflow.
Users need to see the value of this search and trust the process in order to use it.
It's our responsibility to ensure users understand why they are seeing certain results.
Users care deeply about search results and have specific requirements on their research.
We should allow users to manipulate the dataset and find results they need without much effort.
Users need to make reports or share research results.
We should make it easy for users to make use of our dataset.
Three structural changes
- → Create a specialized representation analytics tool to serve the user needs
- → Show users the whole list of results all together in a unified view
- → Provide filters for all results and allow export in customizable formats
From search intent to exported insight
The journey begins with inputting an entity — a company, attorney, or firm. Throughout, validations and filters ensure efficiency and precision. Our key strategy: transparency, precision, and efficiency to empower practitioners to use our data in their workflow.
Four features. One coherent tool.
Each feature addresses a distinct friction point — from first search to final report.
The finished experience
A tool practitioners actually use
From Jul 28 to Oct 26, 2024, Representation Analytics drove strong adoption — practitioners not only landed on the tool but returned to use it, share it, and build it into their workflow.
It's an honor to meet anyone who works on rep analytics — she will die without rep analytics.