Rachel ImmioneArtificial intelligence (AI) is used to supplement or replace human decision-making. They rely on a variety of data inputs, like linguistics and statistics, and use techniques such as regression, rule-based systems, machine learning, and deep learning, amongst others. Automated decision-making systems use algorithms, or a set of instructions, to organize a body of data to achieve an outcome.
Immigration Resources Compliance & Risk Management
Immigration risks include strategic risks, compliance risks, operational risks, financial risks and reputational risks for a business. The changing pace of the regulatory landscape has made immigration one of the top 10 business risks of the organization. Research from Citibank predicts that as many as ten million new jobs will be created from the US Infrastructure and Build Back Better programs. With the ‘Great Resignation’ and the economic slowdown, companies will find it more difficult to attract and retain talent. This will lead to increased competition from corporates to hire skilled workforce from international markets.
The future of immigration legal services
According to a recent report by American Immigration Lawyers Association (AILA) titled The Future of Immigration Law Practice, “in the past twenty years, consumers have seen many technological changes in the way they purchase many products and services. Books, groceries, holiday gifts, and even cars are now purchased online. People complete their tax returns and buy airplane tickets online now, but the way they purchase legal services has hardly changed. Furthermore, while the cost of many products and services purchased online has dropped, the cost of legal services has not. Consumers are getting impatient waiting for technology and lawyers to make legal services more accessible and less costly”.
How AI can help?
Traditional immigration software systems involve a lot of manual intervention from multiple stakeholders – employees, mobility teams (HR and immigration teams of any organization), attorneys and their internal teams and many more. Obviously, this is prone to human errors leading to extensive delays, high financial costs and most importantly, organization’s ability to move required workforce and deliver projects on time. A lot of these processes and systems can be automated and that’s where AI can play a huge role.
Key roles of AI in immigration practice/compliance risk management
You can reduce the manual efforts from onboarding a new client or beneficiary to managing each case by using AI powered automation for the following key tasks –
- Onboarding
- Auto checklist verification of docs
- Auto data-capture
- Auto data validation & verification with internal & external datasets
- Predict & organize documents
- Auto generate letters
- Send emails with email templates
- Document analysis and verification
- Auto identify Risks
- Auto document recognition & linking
- Auto check data consistency between various docs
- Auto create reminders
- Auto email generation
- Auto content summary
- Auto generate a document with relevant content from various documents
- Form Generation
- Auto generate letters
- Auto generate Govt. PDF forms
- Document Assembly & Filing
- Recognize and consolidate various types of document types
- Auto document assembly based on checklist
- Document storage
- Auto generate case filing/shipping info relevant to the case
Managing an immigration law practice or immigration compliance is more challenging now with a combination of factors such as rapidly changing regulations, a huge backlog of immigration cases and the gradual transition back to the office. At the same time, growth opportunities for immigration professionals are greater than ever, and the firms that successfully adopt technology tailored to their practice will thrive.
Now that you have learnt the scope of automation and the huge benefit it can bring to your immigration practice, we invite you to take a free demo of immiONE to see the automation at work.
