How the Right Technology is the Key to Efficient Document Review in 2024

With data becoming more complex every quarter, law firms and corporations dealing with collaborative data during review look to AI-powered technologies as the main solution to reviewing data effectively and defensibly. With the explosion of AI tools over the past 5 years, with 2023 being the loudest, we approach a new year brimming with data from all sorts of different apps but with tools that allow legal teams everywhere to strategize and conquer data review. Let’s explore the ways in which technology is changing the managed document review landscape and the reasons it is essential for contemporary legal teams.

AI Applications for Managed Document Review

Managed document review has seen a revolution thanks to artificial intelligence (AI). The days of legal teams manually sorting through massive amounts of data are long gone. The procedure is now more accurate, intelligent, and efficient thanks to AI.


Predictive Coding: Uses machine learning techniques to find pertinent documents based on how a smaller group of documents are coded. This guarantees a better level of accuracy while also expediting the review process.


Text Analytics: Documents can be automatically recognized and categorized by AI-powered text analytics systems according to their content. This saves legal teams time and money by enabling them to locate relevant papers for a case with greater speed.


Data Visualization: Patterns, correlations, and anomalies in data can be visually represented with the help of AI. Making wise decisions and seeing the wider picture can be greatly aided by this visual portrayal.


The Kind of Instruments Required for Managed Document Evaluation

The tools available to one determine the effectiveness of a managed document review process. The toolkit for document review has grown as technology has advanced, providing legal teams with an abundance of possibilities.


Review Platforms: Contemporary review platforms are furnished with sophisticated search functions, collaborative tools, and user-friendly interfaces. They provide uniformity and cut down on review time by enabling numerous reviewers to work at once. Platforms like Relativity become a powerful tool in the arsenal of any team dealing with data review.


Tools for Automation: The elimination of repetitive operations requires automation. Human mistakes and manual intervention can be greatly decreased by using tools that can batch papers, automatically redact sensitive information, or identify possible problems.


Tools for Communication: During the document review process, it is essential to have smooth communication. Annotations, collaborative editing, and real-time chat are some of the features that can help the review process become more efficient and unified.


Complexity of Emerging Data Types and TARs Rise

The process of reviewing documents has become increasingly complex due to the advent of various sorts of data, particularly chat data. Emojis, informal language, and fragmentary information are common in chats, which makes it difficult to evaluate large amounts of data efficiently. Due to this complexity, businesses and legal firms have been forced to modify their data review procedures and include Technology-Assisted Review (TAR). With its sophisticated algorithms and machine learning powers, TAR makes it possible for a more convincing evaluation, greatly cutting down on the expenses and lost time that come with manually sorting through large and complex data sets.


Aspects of Security in Managed Document Review Systems

The sensitive nature of legal papers combined with the volume of data being processed has made security a top priority in managed document review.


End-to-end encryption guarantees that data is secure both in transit and at rest. It should be provided by any tool or platform used in the review process.


Role-based access controls are a useful tool for limiting access to particular papers or review platform parts to just those who are permitted. By doing this, confidential data is protected and the integrity of the review procedure is upheld.


Audit Trails: Tracking modifications, spotting possible violations, and guaranteeing accountability can all be made easier by keeping a thorough record of every action taken inside the review platform.


Data Backup and Recovery: Having a strong backup and recovery solution guarantees that no data is lost and that the review process can continue without major interruptions in the case of unanticipated events.


Technology continues to be the keystone for effective, precise, and safe managed document review even as the complexity of legal cases increases and the amount of data collected rises. Legal firms may remain at the forefront of their industry and produce unmatched outcomes by embracing AI, providing teams with the necessary resources, and placing a high priority on security.

Visit to find out more about how technology is transforming the eDiscovery field and how you can use it to your advantage.