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Legal Semantic Search for a Digital Law Firm

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Improved speed and accuracy of legal research

Client

The client is a data science company at the intersection of law and technology with a mission to open newer avenues to assist legal professionals across their work spectrum.

Project Context

The client needed a smarter way to search across vast collections of legal documents, contracts, case law, and internal memos. Traditional keyword-based search wasn’t delivering relevant or contextual results for their legal analysts.

Challenges

Lack of expertise in Al and ML
Summarising tons of judgement documents without lag
Assistance in deploying and maintaining applications in AWS

Solution

Created an application that can summarise judgement documents into listenable audio files.
Performed security checks and implemented efficient security features for their AWS services.

Project Objectives

Supreme Court decisions are in pdf
Summarise the gist from the backend using Python.

Implement the judgement summarization and convert it into audio format inside the application.

Make sure that the documents and audio are secured in AWS service instances.

Solution Delivery

Performed security checks and implemented efficient security features for the AWS services including Lambda, EC2, API Gateways and S3.

Performed AWS Lambda function source code optimization.

DNS setup for API Gateway was done along with Infra Automation
Setup and Testing.

Assisted the client in both front-end and backend technology.

Testimonial

SquareShift’s semantic search engine understands legal nuance, we now spend less time digging and more time analyzing.

Technology Stack

To know more in detail 

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