Legal Representation Analytics
Customizable search, results, and export for a legal analytics tool — surfacing patterns that matter to practitioners.
Fragmented search. Invisible patterns.
Inefficient, manual workflows involving fragmented searching and note-taking prevent law librarians from quickly accessing critical representation insights 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.
Help customers directly search for the company, attorney, or law firm and see related results — with the ability to customize the search criteria, filter results, and export a complete list in a single action.
Three ideas that shaped every decision
Starting from user research, 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.
"So many similar names — which one is right?"
"Nice to see many results — how can I narrow down?"
"Results are looking good! But it'll be annoying to compile results by myself."
- Use auto complete
- Show clear groupings of attorney / law firm / company
- Provide detail info about the entity
- Use AI generated boolean search query and exact word search
- Add most relevant filters
- Show result counts
- Show most crucial columns
- Show results in chronological order
- Allow users to export CSV and print the page as-is
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, 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.