Our proprietary Lighthouse SmartSeries suite of technologies and customized workflows improves the consistency of your review teams. Even better, it can reduce your review spend by one-third to one-half. Now that’s smart.

SmartSeries reduces your overall ediscovery cost, risk, and review time, and is optimized for Relativity, so reviewing attorneys can work efficiently in a familiar environment. SmartSeries has four components that can be combined for maximum results:

 
 

Document reviewers spend too much time plodding through multiple overlapping emails and nearly identical draft documents. Lighthouse’s EmailSmart eliminates this wasted effort, reducing review time and cost by as much as half.

Near-Dupe Analysis

Although exact duplicate documents are automatically excluded from the review universe at the processing stage with an MD5 hash analysis, the bigger challenge is finding near-duplicate documents, which cannot be identified this way, and are scattered across the document population. The occurrence of near duplicates in a document population averages 20-40%. To ensure coding decision consistency, most clients prefer to review near-duplicates together. However, manually searching for and batching them is time consuming and unreliable.

EmailSmart leverages Equivio’s similarity scoring methodology, and automates the analysis and grouping of near-duplicate documents for you. Reviewers can look at one document, or compare highlighted differences among similar documents, and quickly code the set.

Email Threading And Suppression of Lesser-Included Threads

Lighthouse’s EmailSmart performs a similar function for email. By suppressing duplicative email messages, email review volume is cut by 20%-50%.

EmailSmart identifies the most-complete version of an email thread, and preserves it for review, while all otherwise identical, but earlier and less-complete versions of the thread are suppressed from view, so your team can focus on just the latest-in-time, most-complete version of the thread, avoiding wasteful, redundant effort or inconsistent coding decisions by different reviewers.

Reviewers typically analyze 10 or more data points to decide which documents need review. EmailSmart reduces these data points to just two, enabling faster review.

Importantly, the steps in this process are traceable, reportable, and defensible. Custodian information for all thread versions is maintained throughout the process and reported for all documents undergoing analysis. If any questions arise during the course of production, suppressed versions of threads can be easily identified, retrieved, and processed for subsequent production.

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ReviewSmart, Lighthouse’s technology-assisted review solution, accelerates your review by analyzing and prioritizing your document set based on calculated responsiveness. ReviewSmart is the fastest, most cost-effective, and accurate way to conduct first-pass review.

How It Works

ReviewSmart starts with a sample set of documents reviewed and coded by your expert reviewer, which is then used to train the TAR process. The training results are evaluated and, if necessary, your reviewer conducts further review on additional sample sets, which help to fine-tune the system. Lighthouse’s experts assess overturn rates for each round to determine when the system has reached optimum performance and needs no more training.

Once trained, the system analyzes the data set and classifies every document based on its likely responsiveness. You can then prioritize your review by responsiveness classification, or simply produce the responsive documents in their entirety.

On a recent project, ReviewSmart enabled our client to cut their projected cost of linear review by 60%.

TAR categorizes data more accurately and quickly than human-eye linear review. By amplifying the calls of one or only a few reviewers on a small subset of documents, a precise and reduced data set for linear review is reached in days.

Why You Can Rely Upon It

You may need to explain the process and decisions made at each step to opposing parties, the courts, and governmental agencies.

A successful TAR process requires considerable statistical analysis, along with a deep understanding of the underlying technology. Our process includes sample selection, validation rounds, statistical analysis, and stringent quality control. Our experts hold degrees in related fields and have decades of eDiscovery review experience. Because of our expertise and the rigorous technology in our TAR solution, you can be confident of a successful and defensible outcome.

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Privilege review consumes a substantial amount of your budgeted time and money, and represents a correspondingly substantial risk for your work product and attorney-client privilege. Potentially privileged documents require more scrutiny, and by more experienced attorneys. Traditionally, privilege review is performed after much of the linear review is complete, using ad hoc searches, in hopes of capturing all potentially privileged documents, then painstakingly reviewing each document individually. Lighthouse’s PrivSmart, a proprietary, patent-pending solution, integrates with Relativity, and is comprised of two tools: Priv Categorization, and Priv Log. Together, they revolutionize the review process with automated workflows that overlay the linear review process, and provide analysis, categorization, and reporting on both relevant and privileged data, at the same time.

Priv Categorization

PrivSmart’s Priv Categorization tool refines the typical privilege review by helping you prioritize documents according to the likelihood that they are actually privileged. Priv Categorization searches the entire workspace for potentially privileged documents and their families, using user-definable search terms. The documents are ranked, from unlikely to be privileged (i.e., false hits) to most likely to be privileged, and are grouped into one of five categories:

  • Third-party in header
  • Privilege-specific hit in header
  • Privilege-specific hit in body
  • Privilege generic hit
  • Privilege hit only in footer

Further investigation and fine-tuning of search term lists can be performed as needed, and run again. Based on your risk aversion, you can then decide whether to spot-check low-risk documents, use less experienced, lower-billing reviewers to review them all, or exclude them from privilege review entirely.

In a recent matter, Lighthouse found that the documents in the two “unlikely privilege” categories had 0% and <1% actually privileged documents respectively. These were also the categories with the largest percentage of the documents, so eliminating these categories from review, or spot-checking them, can result in savings of up to 50% on privilege review.

Priv Log

PrivSmart’s Priv Log tool automatically drafts a privilege log for you so you can focus on legal privilege analysis, not data entry tasks. Priv Log accelerates the privilege log creation process and reduces the risk of error through an easy-to-use wizard. In a matter of minutes, Priv Log helps you by:

  • Guiding you step by step in generating a draft log, from mapping and renaming field names, through selecting individual columns for inclusion, to customizable header and footer values, and generation of Privilege Log Bates numbering
  • Automatically locating names associated with privilege documents
  • Predicting normalized names based on document metadata, and presenting these to you for normalization in a user-friendly interface, then populating them to an editable draft log
  • Automatically creating privilege descriptions based on privilege coding from the review, eliminating the need to manually concatenate multiple fields in an external tool

Additionally, Priv Log tracks documents included in previous final logs, and provides user-selectable exclusion of these docs from incremental final logs. Easy and reliable version control is maintained through a single instance of the log, which is stored and accessed within Relativity, and provides author and date information for final version.

Using PrivSmart, you can intelligently and efficiently perform your privilege review and generate a defensible privilege log with confidence.

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When your matter has large amounts of personal or confidential business data, redactions can be a huge headache.  Typically, legal teams apply redactions manually by drawing boxes on top of TIFF images. Manual redactions are prone to inconsistency and error, which can result in accidental waiver of privilege, or exposure of confidential business or personal information.

RedactSmart is Lighthouse’s patent-pending automated redaction solution.  It enables you to search documents across the entire workspace, and redact words, phrases, or entire blocks of data, including patterns, such as Social Security numbers, phone numbers, credit card numbers or other sensitive information that follows a programmable pattern.

You can customize the redaction text, and easily modify or delete redactions, either in bulk or on a single-document.

RedactSmart also provides real-time redaction status, and offers convenient monitoring and QCing of your redactions via its dashboard.

 

 

RedactSmart fully integrates with Relativity, and adapts to your workflows, providing a familiar, intuitive solution for efficiently and reliably performing your redactions. RedactSmart is the easiest and most accurate method of applying redactions within the Relativity review environment.

 

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The major cost component [of eDiscovery] … was the review of documents for relevance, responsiveness, and privilege (typically about 73 percent).

-Source: 2012 Rand Report, “Where the Money Goes”