---
title: "Discussion on \"Functions in Action: Mining Unstructured Legal Data at JPMorgan Chase\" | Hashnode"
description: "Discussion on \"Functions in Action: Mining Unstructured Legal Data at JPMorgan Chase\". When evaluating the practical application of data mining functions, theoretical concepts must be grounded in real-world infrastructure. Returning to JPMorgan Chase and their Contract Intelligence (COI"
url: "https://hashnode.com/posts/functions-in-action-mining-unstructured-legal-data-at-jpmorgan-chase/6a4f993f690f3a72b0656622"
---

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# [Functions in Action: Mining Unstructured Legal Data at JPMorgan Chase](https://radix-private-markets.hashnode.dev/functions-in-action-mining-unstructured-legal-data-at-jpmorgan-chase?utm_source=hashnode&utm_medium=feed)

When evaluating the practical application of data mining functions, theoretical concepts must be grounded in real-world infrastructure. Returning to JPMorgan Chase and their Contract Intelligence (COI

Jul 9 · 3 min read · radix-private-markets.hashnode.dev  
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## Written by

[Milo Pan](https://hashnode.com/@milopan)

@milopan · Dundee

  
[View profile](https://hashnode.com/@milopan)

Founder of Radix | Automating financial spreading and off-market deal origination for M&A professionals.

Founder of Radix Private Markets, automating off-market M&A deal origination. MSc Data Science student building fintech infrastructure. My work is focused on eliminating hours of manual analysis by autonomously converting raw Companies House statutory filings into structured three-statement models in seconds. By automating the entire due diligence pipeline, from programmatic whole-of-market monitoring to generating interactive, investment-committee-grade dossiers, I enable M&A professionals to bypass data entry and focus entirely on closing deals. Currently pursuing an MSc in Computer Science with Data Science, this journal documents the underlying engineering behind these execution modules, bridging rigorous academic research with commercial FinTech architecture.

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