Creating an aiR for Review project

The instructions you give aiR for Review are called prompt criteria. Prompt criteria 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. For best 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 lets you see immediately how aiR'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 additional resources in Community:

• Workflows for Applying aiR for Review
• aiR for Review example project

Project workflow

The aiR for Review project workflow has three basic parts:

1. Setting up the project
2. Developing the prompt criteria
3. Running the first analysis

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 has size limits for the documents and prompts you submit, as well as volume limits for the overall jobs.

Size limits

The documents and prompt criteria have the following size limits:

• Prompt kickstarter allows you to upload 5 documents of total length of 150,000 characters. See Using prompt kickstarter for more information on using the prompt kickstarter feature.
• The prompt criteria have an overall length limit of 15,000 characters.
• We recommend only including documents whose extracted text is between 0.05KB and 150KB. Although the LLM can handle some larger or smaller documents, most will receive an error.

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 How document errors are handled.

Volume limits

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

Volume Type	Limit	Notes
Max job size	250,000 documents	A single job can include up to 250,000 documents.
Total documents running per instance	600,000 documents	Across all jobs queued or running within an instance, there is a maximum of 600,000 documents.
Concurrent large jobs per instance	10 jobs	For jobs with over 200 documents, only 10 jobs can be queued or running at the same time within an instance.
Concurrent small jobs per instance	No limit	Jobs with 200 or fewer documents have no limit to how many can queue or run at the same time.

Speed

After a job is submitted, aiR analyzes on average 10,700 documents per hour globally. Job speeds vary widely depending on the region, the number and size of documents, the overall load on the LLM, and other similar factors.