Artificial Intelligence (AI) continues to offer relief in the world of document review, expertly addressing some of the most pressing challenges in the process. These concerns are shared by many legal teams, who find the recurring task of document reviewing to be both costly and time consuming. This dreaded process, known as “repeated review”, is considered an unavoidable part of eDiscovery with traditional tools and methods at their disposal. With such methods, every new matter is started from scratch, disregarding its possible overlap with previous or concurrent issues.
A solution to this persistent problem has been introduced through the use of AI. By leveraging advanced machine learning algorithms to automate mundane tasks, AI reduces the time spent on document review and eases the burden on legal teams.
However, the integration of AI in eDiscovery brings more to the table than just efficiency. Its capacity for learning over time promises increased accuracy, ensuring that the same document doesn’t need to be reviewed multiple times across multiple matters. AI effectively learns from its previous experiences and cross-references them with new cases, alleviating the need for starting from zero each time.
Legal professionals are notably benefitting from this advancement in technology. Some have reported noticeable reductions in time and cost implications, owing largely to AI’s ability to streamline the process and reduce the amount of human effort involved.
This integration of AI into the workflow establishes a more consistent, reliable and efficient document review process, proving to be a boon for legal teams globally.
To read more about how AI solves some of the biggest pain points in document review, follow this link.