Chicago Motor Vehicle Injury firm adopts Supio to transform their practice and take on more complex cases

In Chicago's competitive personal injury landscape, Levinson & Stefani faced a familiar challenge: how to maintain personalized client care while handling increasingly complex cases.

Founded by Ken Levinson in 2014, the firm builds on a strong foundation of expertise. Ken and Jay Stefani have been working together on the same types of cases since 2005. Despite being early technology adopters, managing partner Jay Stefani approached AI with measured skepticism.

"Our clients can be anybody," Stefani notes. "Every age level, every background, every demographic." This diversity of clients, each requiring deep understanding of what was taken away from them, demanded more than just efficiency gains.

After two years of experimenting with basic AI tools for medical record analysis, a live demo of Supio changed their perspective. The technology they once viewed with caution had evolved into something that could transform their practice.

Breaking case management gridlock

Personal injury cases have mountains of data and uncovering insights is like finding a needle in a haystack. "You might have 200 pages of records with maybe one page worth of what you need to know," Stefani explains.

Traditional document review consumed weeks, forcing a choice between thorough analysis and responsive client service. For a firm handling thousands of clients over nearly 20 years, this inefficiency had become increasingly untenable.

A recent trucking accident case illustrated the challenge. The client needed back surgery, but had a similar procedure just months before the crash. 

Differentiating injuries required parsing thousands of pages of medical records across multiple phases of care – pre-operative, operative, post-operative, and rehabilitation. 

The client insisted, "It's a different kind of pain, a different sensation, in a different part of the back." Proving this distinction used to take weeks of medical record review and thorough manual analysis.

Meanwhile, opposing counsel waited for delays, using time as leverage. Written discovery alone typically took four weeks, with multiple review cycles. Every week spent reviewing documents was another week clients waited for resolution – clients who were often struggling with medical bills and lost wages.

The emotional toll mounted too. "Handling these cases is rewarding but hard," Stefani notes. "You know your client. You know the family. So you're walking through there in the back of your mind... who suffered through these injuries?"

Calculated skepticism drives breakthrough

With AI breakthroughs and hype dominating global headlines, Levinson and Stefani maintained a measured perspective about its role in legal work. Their early experiments with basic AI tools two years ago had delivered modest gains in medical record analysis, but the firm wanted more than incremental improvement.

The live demo breakthrough moment

Then came a Supio product demo that broke with convention. Instead of polished slides and careful scripts, Supio's team took a risk: live queries on real data. 

"The level of confidence you have to have in your product to do that kind of demo was extraordinary," Stefani recalls. The firm, which had built its reputation on thoroughness, recognized a kindred spirit in this approach.

The system transformed attorney’s role from creation to verification. What once took a month now wrapped in days.

"The level of confidence you have to have in your product to do that kind of demo was extraordinary."

Supio's AI platform transformed how Levinson and Stefani tackled their most challenging cases. When a single medical history spans thousands of pages and every pre-existing condition matters, traditional methods crack under pressure. 

Here's how Supio broke the bottleneck:

Key Feature

AI Assistant (Deep Dive)

During critical moments in depositions, attorneys accessed granular medical details through Supio AI chat. Each insight maintained direct source links, enabling instant fact verification. For the trucking accident case with pre-existing back surgery, this meant instantly surfacing exact documentation showing how new symptoms differed from previous conditions.

Key Feature

Medical Intelligence

The platform's chronology feature, fortified by human expert review, turned thousands of pages into strategic insights in minutes. Case Signals automatically flagged undiagnosed injuries and documentation gaps, transforming routine review into opportunity discovery.

Real-time strategic advantage (even in court)

When opposing counsel raised surprise arguments, attorneys pivoted instantly - pulling up precise medical records, tracking symptom progression patterns, and building stronger positions through comprehensive documentation analysis. No more scrambling through papers or delayed responses.

Accelerating case momentum

During a recent deposition, when opposing counsel raised an unexpected point, Stefani typed a quick query. "I was able to immediately drive the doctor to the specific page of his medical record," he notes. Such moments convinced even skeptical team members.

"The way we get buy-in from our team is to show them how to use the technology... and in a month, we're gonna sit down and you tell me how you would change it." This collaborative approach extended to their relationship with Supio, whose team actively sought feedback on feature development and use cases.

Most significantly, the firm discovered that AI could strengthen rather than dilute client relationships. By automating document analysis, attorneys and paralegals could focus on what Stefani calls "old lawyering" – the strategic thinking and client interaction that technology can't replace. The tool had become, in his words, "a team member in the office.”

Cases that traditionally progressed at the defense's pace now moved at the firm's choosing. "It sends a pretty clear message to defense teams and insurance companies," Stefani explains. 

"You're going to have to deal with this a lot faster than you thought." In court status hearings, the firm increasingly found itself with "clean hands," having completed discovery responses weeks ahead of schedule.

The system's ability to differentiate subtle changes in medical complaints and track treatment patterns across thousands of pages of records strengthened the firm's position in negotiations.

"It doesn't take away the job," Stefani notes. "It frees up time for our team to let them be people."

Perhaps most significantly, the firm found itself taking on cases other practices might decline due to complexity.

What Stefani calls "needle in a haystack" cases – those requiring subtle differentiation of injuries or complex causation analysis – became manageable.

The firm now approaches each case with a broader strategic lens, using the system's analytical capabilities to spot patterns and pressure points that might otherwise have remained hidden. As Stefani puts it: "When you're looking at just the data you want, you start to see connections. If this is here, what about this?" The tool hasn't replaced legal judgment – it's amplified it.

"When you're looking at just the data you want, you start to see connections. If this is here, what about this?"

What’s next

Levinson and Stefani's transformation offers a glimpse of law's AI-enabled future. "It's not there. It's here," Stefani observes. "People are going to be using it."

The question facing firms isn't whether to adopt AI, but how to implement it thoughtfully.