Using Analytics in the documents review workflow can save a significant amount of review time which then allows lawyers to spend more time crafting their case strategy. It ensures a consistent and high quality work product is achieved and reduces the risk of inadvertent disclosure of privilege or confidential documents. Ultimately it enables law firms to provide a cost effective, high quality services to all clients.
It can be applied to any part of the review process from the organisation of information and data analysis to document review and quality assurance.
The analytics engine can automatically categorise documents by identifying themes within document sets and group together documents with a common theme. It is also possible to find similar documents based on just a few lines of text, whole paragraphs or seed sets of example electronic documents. When using this technology effectively within the review workflow it is possible to quickly prioritise review, allowing for the most relevant documents to be reviewed first.
Significantly reduce document review time, allowing legal teams to focus on case strategy.
Optimise the review workflow, ensuring a cost-effective solution for clients.
Reduce the likelihood of disclosing privileged or confidential information.
Minimise errors with automated categorisation and consistent results.
Group documents by themes for faster organisation and review.
Identify related documents using text snippets, paragraphs, or sample files.
Quickly identify and review the most relevant documents first.
Apply analytics to data organisation, document review, and quality assurance.
Ensure a high-quality, uniform review process across the entire dataset.
Free up lawyers to concentrate on building case strategies instead of manual reviews.
Apply analytics to datasets of any size, from small cases to large-scale eDiscovery matters.
Enhance client satisfaction with efficient, high-quality results.
our services
We provide expert consulting to streamline legal workflows, scrutinising protocols, refining document processes, and crafting strategies that reduce time, cost, and complexity in data analysis, review, and discovery
Our team specialises in auditing data, establishing governance processes, and collecting electronically stored information for litigation or regulatory compliance, ensuring thorough and accurate results
We process electronic data from simple USB drives to entire network collections, delivering organised data for accurate, efficient litigation reviews with flexible and scalable eDiscovery services
Our ECA service identifies key risks, costs, and data trends early in legal matters, using analytics to highlight gaps and provide actionable insights before detailed document review
We use advanced tools like email threading and communication analysis to group documents, detect patterns, and quickly identify critical data, saving time and reducing review costs
Our AI capabilities, including predictive coding and natural language processing, accelerate data review, uncover hidden patterns, and minimise the need for manual analysis, ensuring accuracy and efficiency
TAR leverages software and human expertise to replicate coding decisions across entire datasets, significantly reducing review time and costs for large-scale document reviews
Our qualified lawyers work as an extension of your team, using AI tools and Technology Assisted Review to develop customised workflows for precise, efficient document analysis and review
Analytics goes beyond keywords, using advanced tools like categorisation, similarity matching, and predictive coding for deeper insights.
Yes, analytics minimises risks by flagging sensitive documents for accurate review and classification.
Analytics is ideal for cases with large datasets, complex investigations, or multi-jurisdictional matters.
We apply automated categorisation and advanced workflows, ensuring accuracy and uniformity across the dataset.