Client Background

The client is comprehensive legal research platform for legal information for numerous publishers and offered legal solutions to the public, allowing them to find lawyers, attorneys, local law firms, and free legal resources all in one place.

As the company grew, managing manual operations become increasingly challenging, placing a burden on the data operating team. Tasks such as downloading daily judgments, reading physical files, clearing up content, and tagging related keywords become slow and cumbersome, hindering regular data entry work.

Challenges

  • The client faces the challenges of streamlining their operations and enhancing data processing capabilities.
  • Additionally, document processing was significantly impacted by the COVID-19 pandemic, requiring continuous software updates and the processing of a large volume of judgments to provide accurate and real-time updates to clients.
  • They needed a solution that could integrate seamlessly with their existing legacy system while introducing a new data processing module for managing judgments and tagging.
  • The objective was to speed up data processing and improve efficiency while reducing reliance on manual work.
  • Levons also aimed to transition towards a paperless office environment, eliminating paperwork and optimizing their workflow.

Strategic Approach

After careful evaluation of carious automations solutions, the client chose to partner with Fusion Informatics. Their decision was based on the solution’s ability to complement their existing system, provide advanced machine learning capabilities, and offer the flexibility to customize the solutions according to the client’s specific requirements. Fusion Informatics’ solution did not require any contracts, ensuring a seamless integration process. By implementing the new system, the client could transform the speed and workflow of data processing, significantly reducing the need for manual intervention.

Impact

  • Increase Accuracy 90%
  • Boosting overall productivity by 60%
  • Improvement in operational efficiency 30%

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