Analytics, from general text analytics to those which employ semantic indexing, neurolinguistic programming, machine learning, technology-assisted review, predictive coding, and the application of artificial intelligence (AI), are essential components of today’s data and review environment. While technology drives the execution and utilization of analytical tools, we believe that workflows and people hold the ultimate key to successful implementation. Compliance uses five primary analytics tools, all for various purposes, and each unique in its own right: Relativity Analytics, Brainspace Analytics, NexLP, H5’s Matter Analytics, and Heretik.
Discover Expansive Analytics
We use analytics in a number of ways—before, during, and after review—to identify key concepts, documents, witnesses, time periods, and document clusters. Specifically, the analytics we employ include general data analytics, such as:
- Keyword/Unique Hit Analytics
- Domain Analytics
- File Type Analytics
- Timeline Analysis
- Near Duplicate (and Document Similarity) Analytics
- Email Thread Analytics
We also employ more advanced algorithms to provide visualizations and insights:
- Concept Clustering
- Concept Search
- Social Network Analysis
- Technology-Assisted Review/Predictive Coding
- Contract Analysis
Discover Clear Advantage
Analytics allow clients to segregate documents faster, more efficiently, and more accurately. Whether removing documents or data from a review set or finding a “hot” conversation between two custodians on their personal email accounts, analytics help our clients focus on and prioritize data. This translates into cost savings, primarily due to reduced attorney review time, the most expensive aspect of the eDiscovery process.
Another competitive advantage lies in the fact that as both a technology and review company, we provide a single-source solution to take the greatest advantage of analytics: application and review. This provides for a more integrated and efficient approach.
Using visualizations and relationship-oriented classification helps clients see related documents and data points faster and more efficiently. The ability to cluster documents of a similar subject, topic, or nature together not only assists with eliminating irrelevant data - it also helps filter the most relevant documents to priority status, and get a more consistent review across them.
Just when you think you’ve collected all data from all custodians, or received a complete production, timeline analysis helps you understand the gaps in data or the stories behind your data. Timeline analysis can help you focus on conversation anomalies as well as pinpoint the “when” of an event or critical time period in your data.
Key Entity Analysis:
Entity identification can take on more than just names and organizations; analysis here can be customized to locate relevant topics, events, or data points that exist in your evidence, linking them together to help uncover the truth faster.
By analyzing patterns and connections in email, chat, and messaging, we can begin to determine who spoke to whom, when, and about what. Search on topics or entities to pinpoint key players in that arena or timeline and drill down into specific parties to discover how issues developed.
From seed sets to machine learning, using algorithms to help assess hundreds of thousands of documents in seconds can reduce the cost of review by up to 90%. By feeding data points to algorithms, regardless of methodology or version, teams can focus on the most relevant data first, and let the application of AI tell them when the computer has reached a final analysis.
Continuous Multi-Modal Learning:
Brainspace’s proprietary predictive coding methodology uses the power of their proven algorithm to weed through non-responsive data and get reviewers the most important documents first. Integrated with Relativity’s review platform, the CMML method within the Brainspace platform can produce impressive and accurate results.
NexLP’s Story Engine:
NexLP’s Story Engine allows Compliance’s document review teams to gain deeper contextual clarity that results in saving time and costs in uncovering critical facts, through its Discovery-as-a-Service (DaaS) platform. NexLP’s Story Engine has the ability to understand behavioral signals within unstructured data, converting them into valuable insights, reusable AI models, and providing a streamlined review process.
Using various platforms, but focused on the H5 Matter Analytics engine, the rapid identification of personally identifiable information (PII) helps mitigate risk and ensures compliance with various global and US-based privacy laws, and it assists in data breach response. From names and addresses to SSNs, DOBs, and credit card numbers, Matter Analytics algorithms can scan though millions of documents, pinpoint, and highlight the most sensitive information in minutes.
Shorten timelines using Matter Analytics’ Privilege analysis tool during first pass review. With a database of law firm domains and counsel names and the ability to understand communication patterns, email threads that break privilege, and indirect protected communications, the power of this workflow cannot be underestimated and should not be underutilized.
Using Heretik’s algorithms, and as a platform built around Relativity, a single person can analyze thousands of contracts and their different clauses through a single intuitive workflow that identifies similar meaning and language across libraries of documents when companies merge, negotiate new terms over time, or when laws and regulations require certain language modifications and contractual amendments.