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Streamlining Legal Practice with Managed Document Review

Aug 3, 2023

Managed document review is a crucial aspect of streamlining legal practice, particularly in the context of large-scale litigation, regulatory investigations, and document-intensive legal matters. It involves the systematic and efficient review of vast volumes of electronic documents and data to identify relevant information, privilege, and key evidence for a case.

Table of Contents

  • Here are some ways managed document review can streamline legal practice:
  • Cost Efficiency:
  • Speed and Accuracy:
  • Consistency and Quality Control:
  • Scalability:
  • Relevance Ranking:
  • Predictive Coding:
  • Data Security and Confidentiality:
  • Flexibility and Remote Access:
  • Expert Support:
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Here are some ways managed document review can streamline legal practice:

Cost Efficiency:

Legal document review can be costly, especially when handled manually by large teams of lawyers. Managed document review leverages advanced technologies, such as artificial intelligence (AI) and machine learning, to automate parts of the process, reducing the overall cost and time involved.

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Speed and Accuracy:

AI-powered algorithms can process documents at high speeds while maintaining a high level of accuracy. This allows legal teams to review documents quickly, meet tight deadlines, and focus their efforts on more critical aspects of the case.

Consistency and Quality Control:

With managed document review, the use of predefined criteria and consistent guidelines ensures that all documents are reviewed in a standardized manner. This reduces the risk of human errors and improves the quality and reliability of the review process.

Scalability:

When dealing with large-scale litigation or investigations, the volume of documents can be overwhelming. Managed document review platforms can scale to handle enormous datasets efficiently, ensuring that no relevant documents are overlooked.

Relevance Ranking:

AI algorithms can prioritize the most relevant documents, allowing legal teams to focus on the most critical pieces of evidence first. This enables attorneys to build stronger cases by identifying key information more effectively.

Predictive Coding:

Predictive coding, also known as technology-assisted review (TAR), is a form of AI technology used in managed document review. It “learns” from attorney review decisions to classify and rank documents, streamlining the review process further by identifying potentially relevant documents early on.

Data Security and Confidentiality:

Managed document review providers prioritize data security and confidentiality, employing encryption, secure data centers, and strict access controls to safeguard sensitive information.

Flexibility and Remote Access:

Managed document review platforms often provide remote access, allowing legal teams to collaborate and review documents from anywhere, which is especially beneficial in the current landscape of remote work.

Expert Support:

Managed document review services often come with experienced legal professionals and project managers who can guide and support the review process, ensuring it adheres to legal requirements and best practices.

While managed document review has numerous advantages, it is essential to strike a balance between technology and human expertise. Although AI can significantly enhance efficiency, human legal professionals are still indispensable for making nuanced decisions and interpreting complex legal matters.

By integrating managed document review services into their practice, law firms and legal departments can effectively manage the challenges posed by large volumes of electronic data and focus on building stronger cases for their clients.

 

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