The Growing Complexity of Demand Packages: How AI is Transforming Claims Analysis

For claims adjusters, reviewing demand packages has become a growing challenge. These attorney-prepared documents, which outline settlement demand letters, now contain hundreds—sometimes thousands—of pages of medical records, legal reports, billing statements, and correspondence. With AI demand letter software making it easier for plaintiff attorneys to generate highly detailed, structured demand packages, claims professionals are left with the time-consuming task of manually sifting through pages of complex information.

The sheer volume of documents, combined with unorganized data, can lead to challenges, such as:

• Delays in claim resolution that drive up costs.
• Missed inconsistencies or contradictions in medical records and billing.
• Inconsistent claim assessments, leading to varied settlement outcomes.
• Greater legal exposure, as demand packages must be carefully reviewed within strict deadlines.

As demand packages continue to evolve, claims adjusters need modern solutions to keep up.

The Solution: AI-Powered Demand Package Review

Using AI for demand package analysis can transform how adjusters process these complex files. By automatically extracting, analyzing, and organizing critical details, this technology enables adjusters to focus on decision-making rather than document searching. Here’s how AI can enhance demand package reviews:

• Instantly Extract Key Insights–AI pinpoints causation, damages, and treatment progress in seconds. 
• Reduce Litigation Risks–Flags inconsistencies, missing information, identifies complex or severe injuries, and de-duplicates records automatically.
• Accelerate Claim Resolution–Enables adjusters to review demand packages faster, reducing claim cycle times.
• Standardize Evaluations–Ensures a consistent, thorough evaluation of every demand package, raising all claims adjusters’ injury analysis to an expert level.
• Provide Click-to-Evidence Transparency–Verifies every insight with instant access to source documentation.

By structuring unorganized medical records into clear, actionable summaries and insights, AI dramatically reduces manual workload, allowing claims professionals to focus more of their time on evaluations, negotiations, and claim strategy.

Why AI is the Future of Demand Package Review

With plaintiff attorneys leveraging AI to create data-rich, structured demand packages, claims teams must adopt AI-powered solutions to keep up. With these solutions, claims professionals can accomplish the following:

• Work faster and more efficiently, reducing time spent on manual medical record reviews.
• Strengthen claim assessments by surfacing inconsistencies and key insights.
• Minimize litigation risks by ensuring a thorough, data-backed review.
• Deliver consistent, fair claim evaluations without bias.

Takes Demand Package Analysis to the Next Level

At DigitalOwl, we’re taking demand package analysis capabilities even further with advanced AI agents that meticulously examine demand letters alongside the medical data. These AI agents expertly identify and highlight inconsistencies, such as mismatches between reported pain levels and treatment adherence, leading to more accurate and efficient analyses. This results in unparalleled efficiency gains, enabling claims professionals to save time, handle more cases with higher quality and accuracy, and manage large case volumes effectively.

Demand package reviews don’t have to be a bottleneck. By leveraging AI, claims teams can process demand packages faster, with greater accuracy and confidence.

Learn More

I’m headed to RISKWORLD in a few weeks. Schedule a demo at booth #1284 to see how these solutions can fit right into your claims processes and help your team move faster and more confidently.