AI, Empathy, and the Future of Immigration Law: My Visa Source’s Approach to Technology in Legal Services

When the internet arrived, immigration clients started showing up to consultations with printouts. They had read blogs, watched videos, and built their own working theory of how the immigration process applied to their situation. It changed the nature of the consultation.

AI has done something similar at a different speed entirely.

“When the internet became big, clients knew so much because they were reading blogs, watching videos,” said Sonia Mann, Co-Founder and COO of My Visa Source. “Now they’ve taken that and grown their knowledge exponentially because of AI.”

The gap between what clients know and what that knowledge actually enables them to do has not kept pace. More information does not automatically produce better judgment, and in immigration law, the gap between the two carries real consequences.

The Over-Informed Client

The phenomenon is measurable. According to research from Docketwise, 51 percent of prospective law firm clients now view chatbots as a useful starting point for exploring their legal options. Clients arrive having queried multiple AI tools about their situation, and they arrive with conclusions.

Sometimes those conclusions are accurate. Often they are not, or they are accurate in the abstract and wrong for that specific person.

“Sometimes it’s information overload,” Mann said. “They don’t even understand what they know. And we have to marry: okay, you know a whole bunch because of AI. There are all these AI tools. How can we make sure that we get you the ultimate goal of whatever it is that you want?”

This is where the knowledge-judgment gap shows up in practice. A client who has researched spousal sponsorship on three AI platforms still may not know that selecting a particular checkbox on the application form forfeits their right to appeal. They may not know that a brief overstay years ago changes their entire eligibility analysis. They may have a clear picture of the standard pathway and no picture at all of why their situation deviates from it.

The lawyer’s job is to close that gap. AI has not changed what the job requires; it has changed who shows up expecting to have it done.

The Government’s Use of AI

The challenge runs in both directions. Clients are using AI to prepare. Government agencies are using it to process.

IRCC has deployed bulk processing software for certain high-volume application types. The Federal Court has been increasingly willing to quash refusal decisions that fail to demonstrate individualized review of the specific evidence on file. Some applicants and their counsel are now challenging decisions on the basis that the refusal letter was generated through automated means without the procedural fairness the law requires.

In the United States, agencies including USCIS and ICE use AI for fraud detection, document processing, and compliance risk scoring. When automated systems produce outputs that affect a person’s status, human review of those outputs becomes the critical safeguard.

“The government is doing it, clients are doing it,” Mann said. “And as a legal service provider, we have to as well.”

AI as Infrastructure, Judgment as Practice

MVS’s approach treats AI as infrastructure, not as a replacement for legal analysis. Document drafting, translation, legal research, case precedent review: these are areas where AI tools can reduce error and compress time. What they cannot do is assess a specific client’s specific risk profile, account for discretionary factors that affect a decision-maker’s analysis, or tell a client what the real strategic options are across a complex factual situation.

“AI should be a tool that you use to become a better lawyer, to serve your clients,” Mann said. “It should not replace your decision making. If it makes you better at your job, faster, more efficient, that’s fantastic.”

That distinction matters more in immigration law than in many other areas. An immigration case involves overlapping eligibility criteria, multiple regulatory frameworks, and a timeline that interacts with employment, family status, and physical presence. The strategic advice that determines which path a client takes, and whether that path leads to the outcome they need, requires human judgment. No current AI system reliably produces it.

What Technology Cannot Replace

Some cases at My Visa Source are not primarily legal problems. A client facing a medical emergency who is also at risk of losing status if a decision does not arrive in time is navigating something more than a regulatory process. A family separated while an appeal moves through the system is living with a specific question: whether they will be allowed to stay in the same country.

MVS handles cases at that level. The operational infrastructure, the KPI-driven structure, the precedent library and response-time standards, all of it exists so that when a high-stakes case comes in, the team can respond fast. The system creates capacity for the human response.

“We literally come together in the office and say, okay, this is important,” Mann said. “What is the risk to the family legally? What can we do? How can we make sure that people can stay here and they can be together? That’s where the human element comes in.”

AI can help draft the brief. It cannot have that conversation.

Adapting Without Retreating

Mann is direct about the firm’s position on AI: resistance is not an option.

“It would be illogical to try to fight it. It is here. It’s not even coming,” she said. “We have to adapt our practices to make sure that we’re providing legal services in a world with AI, harmoniously, in a way that serves our clients and is regulatory compliant.”

Adaptation and replacement are different things. MVS is building tools and processes that use AI to make legal work faster, clearer, and more consistent. The judgment that produces the outcome stays with the lawyers. The empathy that matters to the person on the other side of it stays there too.

My Visa Source closely monitors immigration policy developments in Canada and the United States.

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