Advanced Solutions for the Best Outcomes
E-Discovery
E-Discovery
NimbleSystems offers award-winning, adaptable, cost-effective and advanced e-discovery.
Features:
Neural Networks/Deep Learning: Your Strategic Advantage
The NimbleSystems advanced e-discovery solution is built on AI and is the only platform that uses neural networks and deep learning in e-discovery. We have an inventory of pre-trained neural networks and Kaleidoscope is regularly updated to handle all new situations that occur.
Aligned with the EDRM E-Discovery Framework
The Electronic Discovery Reference Model is a framework that outlines standards for the recovery and discovery of digital data. The EDRM is designed to guide the gathering and assimilating of electronic data during the legal process, including for criminal evidence discovery. Our solutions span the entire EDRM model, and we add AI and machine learning when it makes sense.
Sound, Defensible Data Collection
The NimbleSystems team of experts uses forensically sound methods to recover data from devices of all types – such as hard drives, thumb drives, laptops, desktops and tablets to smartphones, cloud applications or social media.
Fast Path to Review: Rapid ESI Processing
NimbleSystems uses a specialized type of indexing to render documents searchable and mineable. They are then processed to feed the deep learning functionality within Kaleidoscope. The system can virtually convert any file type to a TIFF or PDF.
Gain Insights from Advanced Analytics
NimbleSystems uses advanced analytics to group documents by type of file, custodian, date range, or other desired factors. Within Kaleidoscope, key document types are identified by using deep learning-based clusters labeled by document titles or common language descriptions. With this technology, hashing, threading, and clustering are used to find exact, near, and far duplicates.
Save Time with TAR
NimbleSystems employs supervised machine learning within Kaleidoscope to train the AI using document samples either coded by the users, selected by the system after model runs, or auto developed based on internal neural net processing. When appropriate, Kaleidoscope uses transfer learning to apply models based on similar document collections or similar review problems for accurate results bringing significant savings in hours and review costs.
Intuitive Document Review
The most important phase in an e-discovery project is document review and coding. With Kaleidoscope, both manual and auto coding are options. Whether using applied AI or manual coding, models are created, and the documents are coded for relevance and privilege. The feedback derived from the evaluation of human review of model results improves both the models and the reviewers’ results. Through this process, Kaleidoscope learns and becomes more responsive to new facts, court rulings, and additional productions of documents.
Timely Production of Responsive Documents
Confidently deliver document productions that comply fully with your ESI agreement. At the completion of review, the NimbleSystems team assists in production of responsive documents in a format easily ingestible for review by opposing parties.
Redaction and Annotation for Easy Compliance
NimbleSystems uses natural language processing and machine learning to quickly find names, addresses, account numbers, birthdates and other private data – and redact or annotate that information in compliance with all privacy laws and FOIA exemptions.
Quick and Organized Data Extraction
When it comes to financial documents, loan applications, scientific and technical reports or any other kind of documents, NimbleSystems takes the information that is collected, extracts the data and puts it where it is needed.
Kaleidoscope – Winner of the 2018 Legal Intelligencer Innovation Award
Advanced E-Discovery Features Analyze Text and Images Through Deep Learning and Include:
