Document Intake in 5 Minutes, Not 48 Hours
Every new case or client file starts the same way: someone reads the document, extracts the key information, classifies it, and routes it manually. Three people. One week per batch. We replace that loop with an AI agent that reads, classifies, extracts, and routes without a person involved at any step.
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Manual Document Review Is a Capacity Problem Disguised as a Staffing Problem
When a law firm hires another paralegal to handle intake, they have not solved the problem. They have hired someone to do what a machine already does — and they will need to hire again when volume increases.
The real cost is not the salary. It is the ceiling. A manual process can only scale at the rate you can recruit, train, and retain the people running it. An automated process scales instantly. Volume doubles and the agent handles it without a calendar invite or an onboarding week.
The second cost is accuracy. Manual extraction at volume is not accurate. Dates get missed. Classifications get wrong. Summaries miss nuance. Attorneys work from incomplete intake forms because nobody caught the gap until it mattered.
AI document processing handles volume without degrading. It reads every document with the same thoroughness on the five hundredth case as it did on the first.
What We Build and How It Runs
- 1
Document intake audit
We map your current document flow: where documents arrive, what needs to be extracted, how they get classified, where the summaries go. We find every manual step and scope what automation removes.
- 2
AI agent training
We train the agent on your specific document types — complaints, intake forms, medical records, contracts, or whatever your workflow requires. The agent learns your classification logic, your extraction fields, and your summary format.
- 3
Integration and routing
The agent connects to your intake channel — email, web form, portal, or internal system — and routes processed documents to the right place. Case management system, attorney inbox, shared drive: wherever the output needs to land.
- 4
Handover with controls
You get a system you can run without us. We train your team on how to update classification rules, add new document types, and adjust extraction fields as your practice evolves. We do not create dependencies.
Measurable Outcomes from Real Deployments
5 min
Intake time
400%
More cases processed
0
New paralegals hired
2–3 wk
Deployment
A legal firm had a document intake problem. Every new case started the same way: someone read the complaint manually, transcribed key dates, classified the case type, and drafted a summary for the attorneys. Three people. One week per batch. We deployed a specialised AI agent to manage intake. Initial response time dropped from 48 hours to 5 minutes. The firm processed 400% more cases without hiring a single additional paralegal.
The Law Firm That Couldn't Process Its Own Caseload
A legal firm had a document intake problem. Every new case started the same way: someone read the complaint manually, transcribed key dates, classified the case type, drafted a summary for the attorneys. Three people. One week per batch. Repeat.
We deployed a specialised AI agent to manage intake. The agent reads filings, classifies case type, extracts critical dates, and produces an executive summary — without human involvement at any step.
Initial response time dropped from 48 hours to 5 minutes. The firm processed 400% more cases without hiring a single additional paralegal.
The three people who were doing intake manually did not lose their jobs. They moved to work that requires judgment. That is how this is supposed to work.
Common Questions
- What types of documents can the AI process?
- Legal filings, complaints, medical intake forms, contracts, applications, and structured business documents. We scope document types during the audit. If you have an unusual format, we test on a sample set before committing.
- How accurate is the AI extraction?
- Accuracy depends on document consistency. For standardized document types — court filings, intake forms, contracts with predictable structure — extraction accuracy is very high. We set a validation threshold during setup and flag documents that fall below it for human review.
- What if the AI misclassifies a document?
- The system includes a confidence score and a human review queue for low-confidence classifications. Nothing is silently routed incorrectly. Edge cases surface to a human rather than disappearing.
- Does this integrate with our case management system?
- In most cases, yes. We scope integration during the audit. Common systems — Clio, MyCase, Salesforce, SharePoint, email-based workflows — have established integration paths. We tell you what is straightforward and what requires custom work before we start.
- How long does deployment take?
- 2–3 weeks for standard workflows. Larger document volumes or complex routing logic can extend to 4 weeks. We give you a timeline after the initial mapping session.
Ready to build this?
Book a free workflow audit.
30 minutes. We map one of your workflows live and show you what we'd automate, how long it takes, and what the ROI looks like. No pitch deck.
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