Case Study

A Global Restructuring Advisory Firm

A leading restructuring advisory firm needed a data import pipeline built for the scale of the largest Chapter 11 cases. Nymbl delivered — replacing long, error-prone workflows with a purpose-built AWS pipeline that normalizes case data from disparate sources, organizes claims and complex debt structures, and prepares court ready filings.

No two bankruptcies are identical. They require various levels of data scrubbing, simultaneously adapting to staggered data reception, and abiding by broad state and federal court mandates for filings.

Client
A Global Restructuring Advisory Firm
Industry
Financial Advisory & Professional Services

Solutions Delivered

Purpose-built AWS data import pipeline
Automated validate-before-commit architecture
AI-assisted data normalization and error flagging
Row- and column-level error reporting
Parallel chunked processing for large-scale file ingestion
Live PDF Preview and faster PDF export
End-to-end audit trail for court-filing compliance
Cleaner more organized UI Experience

Expertise

AWS Fargate
Amazon SQS
Amazon S3
Amazon RDS
Arrow-Parquet parsing
AI-assisted validation
Parallel worker architecture

Overview


When a leading restructuring advisory firm needed to modernize the data infrastructure powering their largest Chapter 11 cases, they turned to Nymbl. Their analysts were spending more time waiting on the low code solution to ingest their data, triaging data validation errors and having to retrigger the same job, rather than doing the case work they were hired for.

Even when data was finally loaded, the analysts were plagued by long queues to then export both excel and PDF files back out of the system for court filings. The required breadth of data required for the Court filings could not be reviewed in the system. Finally, from a user-experience perspective, the existing low code application required that the app be fragmented into way too many pages than were necessary.


Nymbl was engaged to build a full stack application for increased throughput speed, extensibility, and baseline parity with their existing system. The solution had to handle the data volumes and data types characteristic of the largest Chapter 11 cases, not as an edge cases, but as the baseline.


Nymbl designed and delivered a purpose-built pipeline on AWS, engineered from the outset to ingest files from disparate sources, configure validation tables, validate data before anything commits, and give analysts the control and confidence to move fast throughout the case lifecycle without introducing risk. The result replaced years of waiting on the app to deliver with a system built for the scale and compliance demands of enterprise bankruptcy practice.

Nymbl Differentiators: 

Custom-coded, not a low-code shortcut. The app is a full ground-up build on AWS — Fargate, SQS, S3, RDS, and Parquet — giving precise control over throughput, validation logic, and scaling that off-the-shelf and low-code platforms simply can't replicate at this workload.

Purpose-built for Chapter 11 scale and variability. The pipeline was designed specifically for the data volumes of the largest bankruptcy cases, with parallel worker architecture that ensures a single 500,000-row file of any type (xlsx, CSV, xlsb) never bottlenecks the system. Generic case management tools aren't engineered for this out of the box.

PDF rendering in App. Nymbl took the initiative to provide analysts with a live preview of their filings, no more waiting on batch exports, external PDF review, or incomplete exports.

Validate-before-commit, not commit-and-fix. Data is staged and validated in memory with errors surfaced at the exact row and column level before anything touches the master tables — keeping bad data out of court filings rather than chasing it down after the fact.

Built by a team that already knew the domain. The app is a deliberate improvement from an existing low-code application, meaning Nymbl carried forward deep institutional knowledge of how bankruptcy workflows actually run — no vendor learning curve, no domain discovery tax.

Deliverables

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Challenges

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These challenges and inefficiencies caused filing delays, increased compliance risk, and diverted skilled resources away from core legal work.

Nymbl’s Solutions

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Nymbl’s Impact

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Purpose-built AWS data import pipeline designed for the data volumes and cleanliness limitations inherent in notifying creditors for the largest Chapter 11 cases.

Improved visual experience and consolidation of workflows across pages including updated status screens across debtors for visual verification by analysts of what needs to be completed next.

Validate-before-commit pipeline with row and column level error reporting, so analysts catch and resolve data issues before anything reaches the master tables.

AI-assisted normalization for creditor and debtor data, operating under full analyst control with no blind automation.

Live PDF preview for faster iteration

Integrated table relationships  that support data verification without hindering rollback or updates from claims agents.

Fully integrated audit trail across the entire application including pages for court and legal compliance.

AI-assisted normalization for creditor and debtor data, operating under full analyst control with no blind automation.

500,000-row files

Ingested at high throughput replacing manual spreadsheet mapping with a pipeline built for the largest Chapter 11 case volumes.

100,000 rows

Files exceeding 100,000 rows automatically split into parallel workers so no single large dataset ties up the pipeline.

60 seconds

Full import rollback completes in under 60 seconds for 50,000 rows, giving analysts a fast, clean recovery path when issues are found.

5 seconds

Rollback reports generated for 10,000 records, replacing what had previously been an untraceable, manual process.

500,000-row files

Speed and relational validation of imported data

Supporting mapping schemas for distinct data sources and reusing these templates for faster import when updated data is received.

Exporting PDFs was a long tedious and error prone process.

Disconnected pages, confusing app navigation, and remnants of code meant to tackle the inefficiencies in the old system.

Implemented parquet conversion, parallel workers, and scalable AWS containers to contend with the size and activity that 50 analysts working dozens of cases demand.

Cleaner UI and streamlined bug reporting for faster fixes.

Live PDF preview and dynamic updates when attaching supporting evidence.

Full stack control so stacking on AI capabilities later is easy and testable.

Surfacing errors at the exact row and column level before any data is written to master tables — giving analysts precise, actionable error reporting rather than vague failure notices.

Deployed AI-assisted normalization for creditor data, operating fully under analyst control so the system accelerates data prep without removing human judgment from the process.

Future-Ready Solutions Start Here

At Nymbl, we don't just build solutions — we engineer lasting impact. Whether you need to modernize workflows, eliminate inefficiencies, or drive real business results with custom transformative solutions, we're ready to partner with you. Let's build smarter, faster, and more future-ready systems together.