Advanced Analytics
& Generative AI
We deploy advanced AI to improve outcomes and increase efficiency.
Efficiency
Analytics tools, such as predictive coding, clustering, communications analysis, and concept searching, can help reduce the time and effort required for document review. By automating repetitive tasks and prioritizing relevant documents, these tools enable legal teams to focus their attention on the most important materials, leading to faster and more efficient reviews.
Cost Reduction
By streamlining the document review process and reducing the number of documents that need to be manually reviewed, analytics can significantly lower the overall cost of eDiscovery. This is particularly important in cases involving large volumes of data, where traditional review methods can be time-consuming and expensive.
Increased Accuracy
Advanced analytics tools can help improve the accuracy and consistency of document review by identifying relevant documents more effectively and reducing the risk of human error. Continuous Active Learning, for example, uses machine learning algorithms to predict which documents are likely to be responsive to a particular legal request, helping to ensure that no relevant information is overlooked. Additionally, Generative AI can provide coding suggestions and document summaries, increasing accuracy and efficiency.
Early Case Assessment
By streamlining the document review process and reducing the number of documents that need to be manually reviewed, analytics can significantly lower the overall cost of eDiscovery. This is particularly important in cases involving large volumes of data, where traditional review methods can be time-consuming and expensive.
Regardless of the technology, we remain at the forefront.
Scalability
Advanced analytics tools are scalable and can handle large volumes of data, making them well-suited for eDiscovery workflows involving massive datasets. This scalability enables legal teams to efficiently manage even the largest and most complex litigation or investigation matters.
Overall, leveraging advanced analytics in eDiscovery workflows can help legal teams achieve their goals of efficiency, cost reduction, accuracy, early case assessment, risk mitigation, and scalability, leading to more effective and successful outcomes in litigation and investigations.
Risk Mitigation
Advanced analytics can help mitigate legal and regulatory risks by identifying potential issues and anomalies in the data. For example, analytics tools can flag documents containing privileged or confidential information, helping to prevent inadvertent disclosure and potential legal consequences.
While Generative AI is newer to the legal landscape, Sandline remains on the forefront, vetting Generative AI solutions and incorporating them into our tech stack.
We are focused on utilizing and deploying Generative AI responsibly. With access to multiple tools, we will consult with you around your goals and priorities, lending our analytics and AI workflow suggestions.
Information needs intelligence. If you’d like to speak to an expert about our approach to analytics and review, we’d be more than happy to walk you though our solutions.
