AI for Immigration Attorneys

We Consider No Challenge is Out of Reach

Building an AI Platform That Helps Immigration Attorneys in the US Be Faster and Better
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The Challenge

Till now, software applications in the legal industry were limited to case management software or form-building applications. No one had attempted to build an AI-powered platform that could identify issues ahead of time and build visually appealing briefs for immigration attorneys.
There is a reason why the AI platform that iTech built for immigration attorneys is considered groundbreaking.
  • Attorneys are constantly having to adapt to a constantly changing body of law.
  • Each year the President of the US, together with Congress, will decide on the numerical limit for refugee admissions.
These challenges prevented most companies from considering developing a software platform for developing immigration briefs.

The Solution

The Results: As Published by Ritz Herald News Coverage

The success of the AI platform, measured by actual numbers

The first month of application showed how AI in law can help to speed up the immigration process.
  • Using the AI platform, the law firm was able to file 70 H-1B visas in just one day.
  • It filed 460 H-1B visas in one month.

Vs.

Compare this one-month record with the previous full-year number of 457 visa petitions of all types. The approval rate was 99% compared to the previous 95%.

The Features of the Intelligent Immigration Platform

A Machine Trained to Think Like an Attorney

The AI algorithms are based on countless RFEs, denials, regulations, agency decisions, as well as US Federal case law.

RFEs are sent from the United States Citizenship and Immigration Services (USCIS). It is a request for additional information. An RFE is always a time-consuming process for attorneys.

This AI platform can help to remove this roadblock in Request for Evidence and win more cases. It helps in research as well as reducing attorneys’ administrative work.

AI in Law Processes can Identify Issues Ahead of Filing

AI in Law Processes can Identify Issues Ahead of Filing

Document Management

Automated document parsing, using machine learning, OCR, and RPA techniques can index and parse documents that are uploaded by clients and use the information to fill out forms or other relevant documents.

It can also build custom documents based on briefs, business plans, or affidavits.

It can provide strategies based on information from a constantly evolving database known as Winning Strategies.