Law Firm OCR

Law Firms: How Are You Getting That Data Into Your Big Data Model?

In OCR, OCR Software by Admin0 Comments

The legal industry is flooded with lots of data, and effective information management is key to the success of any law firm looking to build a successful big data model. After surveying lawyers in the United States, Purdue University found that a single attorney can generate up to 100,000 pages in a year. With efficient document digitization through Optical Character Recognition (OCR), data mining for big data models can be greatly improved, increasing employee productivity while driving down costs for law organizations.

Benefits of Digitizing Records in Law Firms

For law firms  attempting to extract value from various records they’re required to store due to retention laws and regulations, simply scanning documents into a repository is not a viable option. While some firms may digitize documents by manually entering data, this usually comes with a high labor cost and high potential for human error to play a role in the quality of data being fed into analytics models. OCR software enables businesses to recognize and understand the text information contained in their scanned image documents more quickly and accurately. Digitizing records with OCR increases productivity by enabling law firms to replace manual data entry with a more automated data mining process. Employees are able to focus on more important tasks while having easy access to data, reducing labor hours wasted searching for specific information in the sea of big data.

Enabling Big Data Efficiency with Optical Character Recognition (OCR)

With OCR software, organizations can make scanned documents fully text-searchable and indexed in their document repositories. Instant keyword searches allow organizations to save time and effort in finding key details. OCR allows employees to efficiently search client information, correspondence, discovery documents, pleadings, invoices and any research previously done. Furthermore, moving data from scanned pages to an OCR-driven model increases accuracy of the information stored, allowing for accurate analysis of records by automated system feeding a big data analysis engine.

Data mining enables organizations to learn from their own records. Studying patterns and trends in previous cases and their outcomes enables faster service to clients. By using highly accurate OCR software to feed the data mining process, big data models become more reliable and efficient, allowing law organizations to confidently trust the analytics it provides while dedicating their employees to higher value tasks.

Interested in how your law firm can increase productivity and generate a lightning-fast ROI from data mining with optical character recognition? Get started with your free trial of our Maestro OCR software today!

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