Parallel AI workers
Multiple Agent workers process your documents at the same time. Scale your review capacity without scaling your team.
One task, many agents,
one answer.
Parallel processing splits a large job across several agents that work at the same time on separate slices.
Faster throughput what took an afternoon takes the length of a coffee, with the same per-document care.
Real-time progress watch each agent's step as it happens, and step in the moment something needs you.
Consistent quality every agent applies the same rubric and citation format, so the merged result reads as one.
Delegate to subagents a lead agent plans, hands out the work, then merges and cites what comes back.
Common questions
When a job splits cleanly. A hundred contracts to review, a bundle to chronologise, or a research question with several independent limbs. The work is divided into slices and worked on at the same time, rather than one document after another.
It turns a job whose length was the sum of its parts into one whose length is roughly its slowest part. A review that ran through an afternoon in sequence finishes in the time it takes to read one of its documents carefully.
No. Every agent applies the same rubric and the same citation format, and each document gets the same attention it would have got alone. The merged result reads as one piece of work rather than as several stitched together.
Yes. Each worker's current step is on screen as it happens, so you can see which document is being read and where things stand. If one is heading the wrong way, you can step in while it is still running rather than after the fact.
They are reconciled before the result reaches you, and where a genuine inconsistency exists across documents the output says so rather than silently picking one. A disagreement between two contracts is usually the finding, not a problem.
No. The agent decides when a job is worth splitting and how to slice it. You describe the outcome you want, as with any other task.
It uses your AI allowance in proportion to the work done, not to the number of workers. Running six agents for ten minutes is much the same as running one for an hour.