Personal injury
Medical chronology is the anchor workflow, because records from many providers drive every demand. Intake automation helps with after-hours inquiries, and document automation handles records requests and demand package assembly.
Workflows
Each workflow is a defined task your team assigns, the AI Paralegal prepares, and a person reviews. Start with the one that takes the most hours today, then add more once the results are clear.
Law firm AI automation, as we use the term, means handing a defined, repeatable task to an AI Paralegal and getting finished work back for review. It does not mean software that acts on its own. A person starts every task, and a person decides what happens to the result.
Each workflow has a clear input, such as a set of records or a new inquiry, and a clear output, such as a chronology or an intake memo. It follows your templates and written procedures. Anything unclear is flagged as an exception instead of guessed at.
That structure is what separates legal workflow automation from general AI tools. The work is the same every time, it is easy to check, and it fits the supervision your attorneys already provide.
Each page explains the inputs, the output, the review steps, and where the workflow fits across practices.
Provider records become a dated timeline of care, with each entry citing its source page and gaps marked for review.
Productions and contracts are sorted, checked against your issue list, and summarized so attorneys review findings, not stacks.
Inquiries become consistent intake records, missing facts are listed, and approved follow-ups are queued for staff.
Letters, forms, and standard documents are assembled from your templates and matter data, then held as drafts for approval.
The same workflow looks different in each practice. Here is where each one tends to carry the most weight.
Medical chronology is the anchor workflow, because records from many providers drive every demand. Intake automation helps with after-hours inquiries, and document automation handles records requests and demand package assembly.
Client intake automation collects facts and evidence lists up front. Document automation populates forms and assembles case packets, and document review checks supporting evidence against each packet’s requirements.
Document review and discovery carry the load here, from sorting productions to issue tagging. Medical chronology supports injury and employment matters, and document automation prepares routine discovery responses from your forms.
Document automation does most of the work, assembling plan documents from your templates. Intake automation turns the client questionnaire into a clean planning summary before the first meeting.
Most firms do best starting with one workflow, run for 30 days on real matters. Three questions narrow the choice quickly.
Ask your paralegals and case managers which task they would hand off first. The answer is usually a document-heavy step that repeats every week, like building chronologies or assembling standard letters.
Workflows with a clear template or checklist are faster to configure and easier to review. If your team already has a written procedure, you are halfway there.
Pick a first workflow that staff can review before an attorney sees it. That builds trust in the output before you delegate work closer to clients or courts.
It is the use of AI to perform defined, repeatable legal-support tasks, such as organizing records or assembling documents. At NewClerk, each task is assigned by a person, prepared by the AI Paralegal under firm procedures, and returned for review. It supports staff work rather than acting on its own.
Tell us which tasks take the most hours at your firm. We will help you rank them and show how one would run as a 30-day pilot.