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Last date modified: 2026-Oct-06

Creating an aiR Review project

The instructions you give aiR Review are called prompt criteria. They often mimic a traditional review protocol or case brief in that they describe the matter, entities involved, and what is relevant to the legal issues at hand. To help improve results, we recommend analyzing a small set of documents, tweaking the prompt criteria as needed, then finally analyzing a larger set of documents. Starting with a small set allows you to evaluate how aiR Review's coding compares to a human reviewer's coding and adjust the prompts accordingly.

Refer to Best practices for more information on prompt criteria tips, sample workflow guidance, and iteration workflow.

See these related resources for more information:

Project workflow

The aiR Review project workflow has three basic parts:

  1. Setting up the project—defining the project name, description, data source (saved search), and analysis type.
  2. Developing the prompt criteria—specifying the criteria that the AI should apply when reviewing documents according to the chosen analysis type.
  3. Running the first analysis—running AI analysis on documents according to prompt criteria.

At any point in this process, you can save your progress and come back later.

Job capacity, size limitations, and speed

Based on the limits of the underlying large language model (LLM), aiR Review has size limits for the documents and prompts you submit, as well as instance-level volume limits for the overall jobs.

Authorized administrators can configure job size limits per user group at the instance level to help control and manage the size of jobs that users execute. For more information on setting job sizes, see Setting aiR Review job size limits.

Size limits

The documents and prompt criteria have the following size limits:

Category Applies to Maximum Description
Prompt kickstarter Documents

10 documents

Maximum of 10 documents with a maximum combined total of 300,000 characters. See Using prompt kickstarter (Draft with AI) for more information on using the prompt kickstarter feature for some analysis types.
Combined document content 300,000 combined total
Prompt criteria Combined content across all tabs 15,000 characters The combined content of all prompt criteria tabs cannot exceed 15,000 characters to avoid errors. See Best Practices for tips on writing prompt criteria and removing excess information.
Document extracted text Text per document 0.05 - 300KB

Documents must fall within this range to be eligible for aiR Review analysis. Although aiR Review can handle extracted text up to 300KB, use caution above 150KB as processing errors may prevent results. This range also serves as the limits of an aiR Review "aiR Unit" that is available for aiR Unit Analysis. See aiR Units in Relativity aiR standard workspaces for more information.

Custom Analyses limits Prompt criteria

1,000 characters

Custom insight/prompt cannot exceed 1,000 characters.

Insight title

30 characters

Custom insight title cannot exceed 30 characters.

Vision analysis native image

20MB

  • Vision analysis uses native JPEG, GIF, and PNG image files.
  • Text analysis uses extracted text.
  • The size of a job encompasses both the document size and the prompt criteria size. If the combined total exceeds the per document limit, the job will be too large to process.
  • If a document receives an error, your organization will not be charged for it. For more information, see Handling document errors.

Volume limits per instance

The per-instance volume limits for aiR Review jobs are as follows:

Limit per instance Applies to Maximum
Job size

Relevance, Key Document, Confidential Business Information (CBI), and Custom analyses

300,000 documents

  • Issues analysis
  • 250,000 documents
    Total documents All queued and running jobs in an instance 600,000 documents
    Concurrent large jobs Jobs with more than 200 documents
    • Relevance, Keys, Issues, and CBI analyses projects = 10 queued or running jobs per instance
    • Custom analyses projects = 20 queued or running jobs per instance
    Concurrent small jobs Jobs with 200 or fewer documents No limit

    Speed

    After a job is submitted, aiR Review can analyze up to 3 million documents per day.

    For individual jobs, aiR Review averages between 10,000 and 13,000 documents per hour.

    Job speeds vary widely depending on the region, the number and size of documents, the overall load on the LLM, and other similar factors.

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