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AI in Settlement Administration: People, Powered by Technology

Published
Nov 3, 2025
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Key Takeaways:

  1. AI transforms complex settlement administration by organizing unstructured data, improving accuracy, and enabling faster, more transparent analysis and reporting.
  2. AI serves as a powerful partner that streamlines review processes and enhances decision-making, but human expertise remains necessary.
  3. Tailored, case-specific AI solutions allow for greater agility—identifying patterns, forecasting workloads, and automating repetitive tasks to deliver smarter, faster outcomes for clients.

In the evolving landscape of complex litigation, artificial intelligence (AI) is no longer a futuristic concept but a practical tool. Today, AI is transforming how we manage complexity, improve efficiency, and deliver meaningful insights from large data sets. At EisnerAmper, we believe in the power of combining human expertise with cutting-edge technology to create smarter, faster, and more innovative solutions, while providing the highest commitment to security and data protection for our clients.

Organizing Unstructured Data

Settlement administration often involves managing vast amounts of unstructured data—claim forms and supporting documentation, correspondence, attachments and distribution records. Those sources arrive in various formats and structures, which can make consolidating and analyzing them difficult. AI techniques such as machine learning and natural language processing can transform disparate into coherent, analyzable tables and standardized data fields.

This transformation improves accuracy and enables teams to identify patterns, anomalies, and potential outliers that might otherwise go unnoticed. The result is a more transparent and reliable process with structured outputs and documented workflows that benefit all stakeholders and create a clear path for review and compliance.

Streamlining Review

Reviewing claims and supporting documents is a critical but time-consuming part of settlement administration. AI enhances this process by acting as a first-pass filter, reviewing submissions and surfacing exceptions so human reviewers can focus on complex case-specific decisions.

Utilizing advanced document analysis can pinpoint inconsistencies within submissions, systematically organize and categorize claim details, and extract key data elements—reducing manual shorting and accelerating case resolution .When combined with robust quality controls and human reviewers, these AI workflows can reduce turnaround times while maintaining the highest standards of quality and compliance.

Creative, Case-Specific Solutions

No two litigations are identical. Differences such as claimant populations, document types, regulatory rules, and settlement terms mean solutions need to be tailored to their own challenges. AI enables rapid responds for targeted automations and analytical routines for an agile and creative case-specific solution.

Whether it’s identifying demographic or geographic patterns in claims, forecasting claim volumes to support workload projections, or automating routine eligibility verifications, AI has the ability to innovate and establish automations. These insights help teams quickly craft tailored strategies that address specific client needs and drive better outcomes.

People First

Used intentionally, AI augments human expertise rather than replacing it. Human reviews, case managers, and legal counsel provide context, validate outcomes, and enforce safeguards to maintain defensibility and equability.

At EisnerAmper, we see AI not as a replacement for human judgment, but as a powerful partner that enhances the settlement process. By integrating AI into our settlement administration processes, we’re able to deliver smarter solutions, faster results, and greater value to our clients.

People-powered by technology isn’t just a tagline—it’s our commitment to combining the best of both worlds to meet the demands of today’s complex legal environment.

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