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Managed document review has become a necessity in today’s legal landscape due to several factors:

Volume of Electronic Data: With the increasing reliance on digital communication and the widespread use of electronic devices, the volume of electronically stored information (ESI) has skyrocketed. This includes emails, electronic documents, social media content, and more. Managing and reviewing such large volumes of data manually is time-consuming and prone to errors.

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Complex Legal Cases: Modern legal cases often involve intricate issues and vast amounts of data. The ability to efficiently review and analyze this data is crucial to building a strong legal strategy. Managed document review employs advanced technology, such as e-discovery platforms and artificial intelligence (AI), to streamline the process and uncover relevant information more effectively.

Cost and Time Efficiency: Traditional manual document review can be a costly and time-consuming endeavor. Hiring a large team of attorneys to review documents manually is not only expensive but also susceptible to human error and inconsistencies. Managed document review utilizes technology-assisted processes, such as predictive coding and machine learning algorithms, to expedite the review process, reduce costs, and improve accuracy.

Regulatory Compliance: Regulatory requirements, such as data privacy and protection laws, impose strict obligations on organizations to handle sensitive information appropriately. Managed document review helps ensure compliance by providing secure platforms for data storage, access controls, and audit trails to track document review activities. This is especially important when dealing with personally identifiable information (PII) or privileged documents.

Quality Control and Consistency: In complex legal cases involving multiple reviewers, maintaining quality control and consistency in document review can be challenging. Managed document review enables centralized management, standardized review protocols, and quality assurance measures to ensure consistent and accurate review outcomes. This helps avoid discrepancies, enhances the defensibility of the review process, and reduces the risk of missed information.

Advanced Technology and Analytics: Managed document review leverages advanced technologies, such as AI, machine learning, and natural language processing, to extract relevant information from large volumes of data. These technologies can assist in identifying patterns, detecting key documents, and predicting case outcomes. By harnessing the power of technology, legal professionals can gain valuable insights and make more informed decisions.

In summary, managed document review is a necessity in today’s legal landscape due to the exponential growth of electronic data, the complexity of legal cases, the need for cost and time efficiency, regulatory compliance requirements, the importance of quality control, and the availability of advanced technology. It enables legal professionals to streamline the document review process, enhance accuracy, reduce costs, and make informed decisions based on relevant information extracted from large data sets.

 

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