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Case Study – Litigation Support services 

Case-Sensitive Data Management for PIP Law Firm

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Industry: PIP Law Firm

Solution: Litigation Support

The Client

Shuster & Saben is the leading law firm in Florida in PIP claims for medical professionals. Shuster & Saben has been counseling to more published orders and opinions in favor of medical providers than any other firm in the history of the PIP statute.

With offices statewide, Shuster & Saben is close to medical professionals in every community in Florida, with proven results in getting doctors paid on PIP claims. Their unique relationship with doctors statewide also makes them a leader in Personal Injury Protection. Whether it’s representing medical professionals or the accident victims they treat, their experience always takes advantage.

Business Challenge

Shuster & Saben, a large firm dealing with personal injury protection (PIP) statute cases, faced a significant challenge in managing their large volumes of case-sensitive data. As their client base grew, so did the amount of work that came their way. They needed to handle each case with utmost attention to detail and accuracy, and any mistake in calculations or missing information could result in significant losses.

One of the most significant challenges for the firm was converting all their hard copies of data into digital formats. The sheer volume of data made this task daunting and time-consuming. However, they recognized the importance of this process and its potential benefits in terms of efficient data management.

The firm was committed to delivering timely verdicts for its clients and could not afford to miss any deadlines. Therefore, they had to streamline their processes and ensure that they had the right tools and technologies to handle their data effectively.

Despite the challenges, Shuster & Saben had established a solid reputation in the industry, and they were determined to maintain their position by providing exceptional service to their clients. They recognized the importance of investing in the right resources and technologies to manage their data effectively, and they were willing to adapt and innovate to stay ahead of the curve.

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