Meet our AI UTBMS Code Predictor!

Written by
Sachin Saj
Published on
June 7, 2024

UTBMS codes are like magic keys for bringing order to the wild world of legal spending. They help us break down our legal costs into understandable bits and pieces, showing us exactly what we're spending our money on. However, there's a slight hiccup.

The Pain Point

Law firms often struggle with manually assigning UTBMS codes for line entries and invoices, which can lead to inconsistencies, errors, and potential negative impacts on client relationships and financial reporting.

This isn't something we can blame on the timekeepers—it's just human nature. We're generally not great at classification, and we're slower, less accurate, and less consistent compared to machines.

The Bilr Impact

Identifying these challenges, our product engineering team developed an AI-driven UTBMS code predictor within Bilr. This innovation leverages advanced artificial intelligence and machine learning algorithms to automatically predict and assign the appropriate UTBMS codes to legal tasks. Here is how it works

Data Collection: The system collects data from time entries, case files, and task descriptions.

AI Analysis: Using machine learning algorithms, the tool analyzes the data to understand and categorize the tasks.

Real-Time Predictions: The AI predicts the appropriate UTBMS codes in real-time, providing immediate feedback to users.

Continuous Learning: The system learns from each prediction, improving its accuracy over time and adapting to new data.

Thanks to its predictive capabilities, with just a click, users can effortlessly generate UTBMS codes for the line entry items.

How do law firms benefit from this?

Process Automation: Legal professionals can save significant time that would other wise be spent on manual coding. This allows them to focus more on high-value tasks and client service.

Increased Accuracy: Our AI engine is meticulously trained on vast amounts of historical data, enabling it to continuously refine its predictions and deliver the best possible results.

Automated Guideline Review(SLA/MSA): Bilr’s ML engine review and identify errors, omissions, and non-compliances in time tracking and invoicing

Hassle free Billing: With AI handling the coding, the process becomes straight forward and less burdensome, especially for firms with large volumes of billing data

The Way Forward

Bilr’s AI-driven UTBMS code prediction tool is more than just an innovation, it represents a significant step forward in the evolution of legal billing. By automating and enhancing the accuracy of code assignments, law firms can achieve greater efficiency and client satisfaction.

This not only simplifies the billing process but also deliver vital insights and transparency, enabling better financial management and client trust.

As Bilr rolls out this feature, law firms can look forward to a more streamlined, accurate, and efficient billing process. The future of legal billing is here, and it’s driven by AI. For more information feel free to schedule a demo with us or drop an email to [email protected]

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