Document Analytics for the Legal Industry
May 15, 2020
To date, we have successfully converted and enriched more than three billion pages in the context of thousands of engagements in a wide variety of electronic formats. In particular, we preserve, reorganize, enhance, query and report on unstructured, semi-structured and structured materials in a wide range of formats to meet the exacting requirements of downstream case management systems, databases, electronic publishing systems, and data distribution networks.
With a vast library of specially developed conversion tools, we can adapt our software processes to handle any data set no matter how complex. The degree of automation in our approach yields an uncompromisingly consistent end product.
Join us and we will demonstrate:
Enhanced Query & Reporting Functionality
Preserve, reorganize, enhance, query and report on unstructured, semi-structured and structured materials in a wide range of formats to meet the exacting requirements of downstream case management systems, databases, electronic publishing systems and data distribution networks
Provide further insight into your data by performing complex normalizations and calculations for inclusion into priority data reports to inform and direct your successful overall strategy
Automation & Scalability
Fully automated, scalable solution to transform high-volume scanned image files into high-quality searchable XML, capable of being stored and accessed via a database application
Highlight Data Inconsistencies
Improve the quality, depth, and speed of the re-underwriting review by highlighting data inconsistencies within the corpus of re-underwriting data and hyperlinking the loan file data to the original data source located in underwriting guidelines, loan files, and supporting documents
Ability to monitor the evolution of document over time at an extremely granular level
Automated redaction detection accuracy is 99.934% and the redaction detection and reporting software will shortly be deployed into the world?s leading eDiscovery ecosystem – Relativity.
Structured Data Hub preserves data provenance and provides on-the-fly data harmonization, filtering and sorting functionality
Incorporates both functionalities for annotation and NLP and rules-based software for text extraction and to ensure that references and paths are accurately cited so you are able to reliably identify relevant rules, jurisdictional conflicts and a history of changes