<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Legal Documents on Subhajit Bhar</title><link>https://subhajitbhar.com/tags/legal-documents/</link><description>Recent content in Legal Documents on Subhajit Bhar</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© 2026 Subhajit Bhar</copyright><lastBuildDate>Thu, 12 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://subhajitbhar.com/tags/legal-documents/index.xml" rel="self" type="application/rss+xml"/><item><title>Contract Data Extraction: Pulling Structured Data from Legal Documents</title><link>https://subhajitbhar.com/blog/idp/contract-data-extraction/</link><pubDate>Thu, 12 Mar 2026 00:00:00 +0000</pubDate><guid>https://subhajitbhar.com/blog/idp/contract-data-extraction/</guid><description>&lt;p&gt;Contracts are the hardest document type to extract data from reliably. Invoices have a predictable structure. Lab reports have defined fields. Contracts are natural language documents, and the information you need — key dates, party names, payment terms, renewal clauses, termination conditions — can appear anywhere, phrased in many different ways, across documents that range from two pages to two hundred.&lt;/p&gt;</description></item></channel></rss>