In Relativity, a "Choice" is the object used to store the specific, predefined values for single-choice and multiple-choice fields. For example, a "Responsiveness" field would have choices like "Responsive" and "Not Responsive." These choices are created and managed as separate objects within a workspace. When a user codes a document, they are selecting one of these choice objects, and a link between the document and the selected choice is stored in the database. Layouts display these choices, but the choices themselves are the underlying objects.

B. Layouts are the web forms or user interfaces where coding fields and their available choices are displayed for user interaction.

C. Views are customizable lists that determine which fields (columns) are shown for a set of documents, not the storage for coding values.

D. Indexes (e.g., dtSearch, Analytics) are data structures that make document content and metadata searchable; they do not store the primary coding values.

Relativity Documentation, "Fields, choices, and layouts," Version: RelativityOne. This page states, "Choices are the predetermined values that are applied to single and multiple choice list fields."

Relativity Documentation, "Relativity objects," Version: RelativityOne. The documentation lists "Choice" as a distinct workspace object, defining it as a value for a single or multiple choice field.

The Word Index in the transcript viewer lists all non-noise words from a transcript and their frequency. When a user selects a word from this index, Relativity displays all occurrences of that word, including the page number, line number, and the speaker who said the word. Therefore, the Speaker field's data is a key component contained within and presented by the Word Index functionality to provide context for each term.

A. Associated facts are part of the transcript's Digest functionality, where users can create summaries or link key testimony to case facts, separate from the Word Index.

B. Exhibit numbers are managed and viewed in the Exhibits tab of the transcript viewer, not within the Word Index.

D. Count is a calculated frequency of a word's appearance in the transcript; it is a metric about the word, not a data field from the transcript itself like 'Speaker'.

1. Relativity Documentation. "Viewing transcripts". Relativity 10.3 Documentation. Accessed May 2024. (This section describes the viewer interface, including the Word Index tab, and explicitly mentions that it displays the speaker for each word occurrence.)

A dtSearch incremental build is an efficient method for updating an existing dtSearch index. Instead of re-indexing all documents in the searchable set (a "full build"), an incremental build only processes and adds documents that are new to the set since the last index build was completed. This process is significantly faster and uses fewer server resources, making it ideal for workspaces where new documents are frequently added and need to be made searchable quickly.

A. Rebuilding the entire index from scratch is known as a "Full Build," which is a different, more time-consuming operation.

C. Deleting the index is a separate administrative action that completely removes the index and its associated files.

D. Exporting an index is not a standard build operation; it refers to moving or copying index files, not updating them with new documents.

1. Relativity. (n.d.). Managing dtSearch indexes. Relativity Documentation. Retrieved from https://help.relativity.com/RelativityOne/Content/Relativity/dtSearch/ManagingdtSearchindexes.htm (Section: "Incremental Build - Click to build the index for only those documents that have been added to the search set since the last build.")

2. Relativity. (n.d.). dtSearch. Relativity Documentation. Retrieved from https://help.relativity.com/RelativityOne/Content/Relativity/dtSearch/dtSearch.htm (The overview explains the purpose of dtSearch indexes and the need to update them as new documents are loaded.)

DeNIST is a standard feature in Relativity Processing that filters out files based on the National Institute of Standards and Technology (NIST) list. The NIST list contains hash values for millions of known, common system and application files (e.g., .dll, .exe files from operating systems like Windows). By enabling the DeNIST option in a processing profile, Relativity compares the hash values of files in a data set against the NIST list and automatically removes exact matches from the discoverable document set, reducing irrelevant data for review.

A. OCR (Optical Character Recognition) is a feature that extracts text from images or non-textual PDFs, making them searchable; it does not remove files.

C. Clustering is an analytics feature that groups conceptually similar documents together; it does not filter files based on a predefined list.

D. Branding is a production feature used to apply Bates numbers and other endorsements to images; it is unrelated to file filtering during processing.

1. Relativity. (2024). Processing profiles. Relativity Documentation. Retrieved from the Relativity Community portal. The documentation for processing profile fields includes "DeNIST," which is described as an option to "remove NIST files from the processing set."

2. Relativity. (2024). Processing. Relativity Documentation. Retrieved from the Relativity Community portal. The overview of processing capabilities highlights DeNISTing as a key step in culling data by "filtering out ignorable files" to reduce data volumes before review.

A Search Terms Report is a tool within Relativity used to determine how many documents in a data set contain specific keywords or phrases. It provides a summary and detailed breakdown of hits for each term, including the number of documents containing the term and the total frequency of the term across the document set. This report is crucial for assessing the scope of potentially relevant documents based on keyword searches before executing a broader review.

A. User permissions are managed in the Workspace Details and Admin tabs, not through a Search Terms Report.

C. Server logs contain system-level information about the performance and errors of the Relativity environment, not keyword search results.

D. Backup status is a system administration detail concerning data protection, unrelated to document content searching.

1. Relativity. (n.d.). Search terms reports. Relativity Server 2023 Documentation. Retrieved from https://help.relativity.com/RelativityOne/Content/Relativity/Searchtermsreports/Searchtermsreports.htm. (See "Search terms reports" section, paragraph 1).

2. Relativity. (n.d.). Running a search terms report. Relativity Server 2023 Documentation. Retrieved from https://help.relativity.com/RelativityOne/Content/Relativity/Searchtermsreports/Runningasearchtermsreport.htm. (See "Results" section).

Boolean logic is a system of symbolic logic used in searching databases and search engines. The core operators are AND, OR, and NOT. The AND operator is used to narrow search results by requiring that all specified terms appear in the documents returned. For example, a search for "contract AND confidential" will only return documents containing both words. Both keyword search and dtSearch in Relativity support Boolean operators.

A. ADD: This is not a standard Boolean operator; it is sometimes used in mathematical contexts but not for logical search queries.

C. JOIN: This is a command used in SQL and other database languages to combine rows from two or more tables.

D. MERGE: This is a database operation for combining datasets; it is not a Boolean search operator.

- Relativity. (n.d.). Keyword search. RelativityOne Documentation. Retrieved from https://help.relativity.com/RelativityOne/Content/Relativity/Searching/Keywordsearch.htm. (This page details the syntax for keyword searches, explicitly listing AND, OR, and NOT as supported Boolean operators).

- Relativity. (n.d.). Searching with dtSearch. RelativityOne Documentation. Retrieved from https://help.relativity.com/RelativityOne/Content/Relativity/dtSearch/SearchingwithdtSearch.htm. (This page confirms that dtSearch also supports the standard Boolean operators AND, OR, and NOT).

An Imaging Set in Relativity is a saved configuration that defines both the scope of documents to be imaged and the specific settings for how the images should be created. The scope is determined by a data source, typically a saved search. The settings are defined in an imaging profile, which specifies options like image format (e.g., TIFF, JPEG), resolution, stamping (e.g., Bates numbers), and other imaging parameters.

A. User permissions are managed through groups, users, and workspace security settings, not through an Imaging Set.

C. Search results are often the input or data source for an Imaging Set, but the set itself also includes all the configuration settings for the job.

D. Export formats are defined in different areas, such as during a production or a simple file export, not within an Imaging Set, which is focused on creating images.

- Relativity Documentation, "Imaging," section on "Imaging sets." The documentation states, "An imaging set is a saved group of documents that you define for an imaging job... you must also select an imaging profile to provide the settings for the job."

- Relativity Documentation, "Imaging," section on "Imaging profiles." This page details the various settings (e.g., format, resolution, stamping) that are configured in a profile, which is then applied to an Imaging Set.

In Relativity, a dynamic object is a custom object created by a user or administrator to store and organize data specific to a case's needs. Unlike system-defined objects like 'Document', dynamic objects are user-defined to track information that doesn't fit into standard fields, such as custodian details, interview notes, or key case issues. They are "dynamic" because they can be created, modified, and linked to other objects (including documents) to build relational databases within a workspace, tailoring the environment to a specific matter's requirements.

A. System-defined objects are built into the Relativity platform by default and are not user-created.

C. A temporary file is a transient file created by an operating system or application, not a persistent, structured object in Relativity.

D. A backup file is a copy of data used for restoration purposes and is unrelated to the application's object model.

1. Relativity. (n.d.). Objects. Relativity Documentation. Retrieved from the official Relativity documentation portal. In the "Objects" section, the documentation explicitly states, "Relativity refers to user-created objects as dynamic objects."

2. Relativity. (n.d.). Creating and editing objects. Relativity Documentation. Retrieved from the official Relativity documentation portal. This page details the process and purpose, stating, "You can create custom objects, called dynamic objects, to store information unique to a case."

An OPT file, or Opticon file, is a type of load file used in e-discovery to associate images with their corresponding records. It acts as a cross-reference file, mapping a unique document identifier (like a Bates number) to the file path of its associated image file (e.g., TIFF or JPG). It also specifies where documents begin and end (document breaks) and can contain volume information.

A. Text extraction is typically handled by DAT files (which contain metadata and extracted text) or separate text files referenced in a load file, not the OPT file itself.

C. Security settings are managed within the Relativity platform through users, groups, and permissions, and are not part of an OPT load file.

D. Index configuration refers to the settings for a dtSearch or Analytics index, which are configured within Relativity and are unrelated to an OPT file's function.

1. Relativity Documentation. "Load file formats for RDC". Relativity Server 2023 Documentation. Accessed May 2024. (This page details the specifications for various load file types, explicitly defining the Opticon (.opt) file as an "image cross-reference file" and outlining its required fields.)

Optical Character Recognition (OCR) is a technology that converts different types of documents, such as scanned paper documents, PDFs, or images captured by a digital camera, into editable and searchable data. In Relativity, OCR is used to extract text from image files (like TIFFs or image-only PDFs) that do not have discoverable text. This process makes the content of these images searchable within the workspace, which is crucial for review and analysis. OCR can be run on a set of documents, and the resulting text is stored for indexing.

A. Encrypting files is a security measure to protect data from unauthorized access, which is a separate function from OCR.

C. Deleting duplicates is handled by the deduplication process during data processing, not by OCR.

D. Creating layouts is a user interface customization feature for organizing fields and objects for document review.

1. Relativity. (n.d.). OCR. Relativity Documentation. Retrieved from https://help.relativity.com/RelativityOne/Content/Relativity/OCR/OCR.htm (See the "OCR" section for a functional description).

2. Relativity. (n.d.). OCR profiles. Relativity Documentation. Retrieved from https://help.relativity.com/RelativityOne/Content/Relativity/OCR/OCRprofiles.htm (This page describes how to configure OCR settings, reinforcing its purpose).