Case study
Legal Judgment Summarization and Audio Conversion
How SquareShift built an application that summarizes legal judgments and converts them into audio for a legal data-science company.
Summarizing a judgment isn't the hard part — knowing which sentence actually matters to the outcome is. That's the judgment call worth automating carefully, not quickly.
Platform & Software Engineering Practice Lead, SquareShift
A data science company at the intersection of law and technology.
Its mission: open new ways to help legal professionals move faster across their day-to-day work.
- Judgment summarization — condenses lengthy court decisions into concise, listenable summaries.
- Audio conversion — turns summarized judgments into audio for on-the-go review.
- Hardened AWS deployment — security checks and optimization across Lambda, EC2, API Gateway, and S3.
How SquareShift delivered it.
The challenge
Supreme Court decisions arrived as dense PDFs, and the client’s legal analysts needed the gist fast — not a full read-through every time. The client also lacked in-house AI and ML expertise to build that kind of summarization pipeline, or to deploy and maintain it securely in AWS.
What we delivered
SquareShift built an application that summarizes judgment documents in Python and converts the summary into a listenable audio file, so analysts can review a judgment while doing something else. Documents and audio are secured inside AWS service instances, including Lambda, EC2, API Gateway, and S3.
SquareShift also optimized the Lambda functions’ source code, set up DNS for the API Gateway, and automated the infrastructure setup and testing — covering both the front-end and backend of the application.
The payoff
Legal analysts now get a judgment’s gist as a short audio summary instead of reading a full PDF end to end. The application runs on a hardened, optimized AWS stack — Lambda, EC2, API Gateway, and S3 — that SquareShift built, secured, and tuned for production use.
Where this work sits