{"id":23587,"date":"2026-06-27T11:33:18","date_gmt":"2026-06-27T11:33:18","guid":{"rendered":"https:\/\/engineerbabu.com\/blog\/?p=23587"},"modified":"2026-06-27T15:17:31","modified_gmt":"2026-06-27T15:17:31","slug":"build-a-legal-ai-research-platform","status":"publish","type":"post","link":"https:\/\/engineerbabu.com\/blog\/build-a-legal-ai-research-platform\/","title":{"rendered":"How to Build a Legal AI Research Platform &#8211; Case Law Search, RAG Architecture, Citation Verification 2026"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Legal research is one of the most time-intensive activities in legal practice. A junior associate may spend 40 to 60 hours researching precedents and drafting a single motion brief.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">AI legal research changes this not by replacing the lawyer&#8217;s judgment, but by making the research layer dramatically faster.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The risk is hallucination. An AI that confidently cites a case that does not exist is professionally dangerous. An attorney who files a brief with AI-hallucinated citations risks sanctions.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The architecture of a legal <\/span><a href=\"https:\/\/engineerbabu.com\/services\/ai-development\"><span style=\"font-weight: 400;\">AI platform<\/span><\/a><span style=\"font-weight: 400;\"> must make hallucination structurally impossible by grounding every output in verified legal sources through RAG (Retrieval-Augmented Generation).<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-23608\" src=\"https:\/\/engineerbabu.com\/blog\/wp-content\/uploads\/2026\/06\/01-dashboard.png\" alt=\"\" width=\"2560\" height=\"1600\" title=\"\"><\/p>\n<h2><b>What Makes an Enterprise Legal AI Platform Different?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Unlike consumer AI assistants, <\/span><a href=\"https:\/\/engineerbabu.com\/services\/software-development\"><span style=\"font-weight: 400;\">enterprise legal research software<\/span><\/a><span style=\"font-weight: 400;\"> must prioritize accuracy over creativity. Every legal conclusion should be traceable to authoritative sources, with transparent citations and verification mechanisms.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A robust platform typically includes:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AI-powered semantic legal search<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Verified legal corpus management<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">RAG-based brief and memo generation<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Automated citation validation<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Regulatory monitoring and alerts<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Secure document management<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Integration with legal practice management software<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Audit logs and enterprise-grade security<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">These capabilities enable legal teams to research faster while maintaining confidence in every citation and recommendation.<\/span><\/p>\n<h2><b>Why Law Firms Are Investing in Legal AI<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Modern legal practices require technology that improves productivity without increasing risk. AI-assisted legal research helps firms:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Reduce legal research time significantly<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Improve consistency across legal documents<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Detect outdated or overruled precedents<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Monitor changing regulations automatically<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Increase attorney productivity<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Deliver faster responses to clients<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Scale legal operations without proportionally increasing staffing<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Rather than replacing attorneys, AI allows them to focus on legal strategy, negotiation, and advocacy instead of repetitive research tasks.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-23607\" src=\"https:\/\/engineerbabu.com\/blog\/wp-content\/uploads\/2026\/06\/03-app-design.png\" alt=\"\" width=\"2560\" height=\"1600\" title=\"\"><\/p>\n<h2><b>Module 1 &#8211; Legal Corpus Management<\/b><\/h2>\n<p><b>Document types and sources:<\/b><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Document Type<\/b><\/td>\n<td><b>Sources<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Federal case law<\/span><\/td>\n<td><span style=\"font-weight: 400;\">PACER, CourtListener, Caselaw Access Project<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">State case law<\/span><\/td>\n<td><span style=\"font-weight: 400;\">State court websites, CourtListener<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Federal statutes<\/span><\/td>\n<td><a href=\"https:\/\/www.law.cornell.edu\/uscode\/text\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">U.S. Code (Cornell LII, GovInfo)<\/span><\/a><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Federal regulations<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Code of Federal Regulations (eCFR)<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">State statutes<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Individual state legislature websites<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Agency guidance<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Federal agency websites<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><b>Corpus ingestion pipeline:<\/b><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Step<\/b><\/td>\n<td><b>Process<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Source download<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Scheduled download of updated legal documents<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Text extraction<\/span><\/td>\n<td><span style=\"font-weight: 400;\">PDF\/HTML parsing preserving structural metadata<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Citation parsing<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Identify and structure citations within each document<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Chunking<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Split into 500\u20131,000 token semantically coherent chunks<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Embedding<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Convert to vector embeddings using legal-domain model<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Storage<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Store with full metadata (case name, court, date, citation)<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><b>Module 2 &#8211; Semantic Legal Search<\/b><\/h2>\n<p><b>The query flow:<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">User: &#8220;Cases where constructive discharge was found after employer changed job duties&#8221;<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Query embedded using same model as corpus<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Vector database returns top-K most semantically similar case chunks<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cases re-ranked using cross-encoder for legal relevance<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Results displayed with: case name, citation, court, date, relevant excerpt<\/span><\/li>\n<\/ol>\n<p><b>Why semantic search is critical:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Legal research relies on concepts, not keywords. &#8220;Constructive discharge&#8221; may be discussed in cases that never use that exact phrase, they might say &#8220;conditions rendered intolerable&#8221; or &#8220;forced resignation.&#8221; Semantic search finds these cases because the embedding model understands conceptual similarity.<\/span><\/p>\n<p><b>Filterable by:<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Federal vs state courts<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Specific courts (Supreme Court only, Circuit Courts)<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Date range<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Citing relationship (find cases that cite a specific precedent)<\/span><\/li>\n<\/ul>\n<h2><b>Module 3 &#8211; AI Brief and Memo Generation (RAG-grounded)<\/b><\/h2>\n<p><b>The brief generation workflow:<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Attorney defines the issue<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Platform retrieves relevant cases, statutes, regulations via semantic search<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">LLM generates draft with each argument grounded in retrieved authorities<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Every citation includes: full citation, court, date, quoted passage from case<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Attorney reviews, edits, adds strategic and persuasive judgment<\/span><\/li>\n<\/ol>\n<p><b>The LLM prompt constraint:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">System: You are a legal researcher.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Answer only from the provided context.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Cite the source document for every factual claim.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If you cannot find relevant authority in the context,<\/span><\/p>\n<p><span style=\"font-weight: 400;\">say &#8220;I could not find relevant authority for this<\/span><\/p>\n<p><span style=\"font-weight: 400;\">proposition&#8221; rather than generating a citation.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-23606\" src=\"https:\/\/engineerbabu.com\/blog\/wp-content\/uploads\/2026\/06\/02-wireframe.png\" alt=\"\" width=\"2560\" height=\"1600\" title=\"\"><\/p>\n<h2><b>Module 4 &#8211; Citation Verification<\/b><\/h2>\n<p><b>Verification checks:<\/b><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Check<\/b><\/td>\n<td><b>What It Confirms<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Citation exists<\/span><\/td>\n<td><span style=\"font-weight: 400;\">The case at this citation exists in the corpus<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Case name matches<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Name matches the cited citation<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Quotation accuracy<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Quoted passage matches actual case text<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Precedential status<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Has the case been overruled?<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Jurisdiction applicability<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Is this binding\/persuasive in the target jurisdiction?<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><b>The citator function:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The platform&#8217;s citator database tracks each case&#8217;s subsequent history, identifying subsequent decisions that expressly overrule or distinguish the cited proposition. Citations flagged as overruled are highlighted before the attorney can submit.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-23604\" src=\"https:\/\/engineerbabu.com\/blog\/wp-content\/uploads\/2026\/06\/05-citation-verification.png\" alt=\"\" width=\"2560\" height=\"1440\" title=\"\"><\/p>\n<h2><b>Module 5 &#8211; Regulatory Monitoring<\/b><\/h2>\n<p><b>For compliance-focused practices:<\/b><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Function<\/b><\/td>\n<td><b>Details<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Agency monitoring<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Federal Register, CFPB, SEC, state agencies<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Alert configuration<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Attorney sets agency, topic, jurisdiction<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Impact analysis<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Which client matters are affected by each change<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Summary generation<\/span><\/td>\n<td><span style=\"font-weight: 400;\">AI summarises change and practical implications<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><b>Cost to Build a Legal AI Research Platform<\/b><\/h2>\n<table>\n<tbody>\n<tr>\n<td><b>Module<\/b><\/td>\n<td><b>Cost Range (USD)<\/b><\/td>\n<td><b>Notes<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Legal corpus ingestion + scheduled updates<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$8K \u2013 $15K<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Multi-source<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Vector database + embedding infrastructure<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$6K \u2013 $12K<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Legal-domain model<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Semantic search + jurisdiction filtering<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$8K \u2013 $15K<\/span><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">AI brief\/memo generation (RAG)<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$10K \u2013 $20K<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Strict grounding prompts<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Citation verification engine<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$8K \u2013 $15K<\/span><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Precedential status (citator)<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$6K \u2013 $12K<\/span><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Regulatory monitoring + alerts<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$6K \u2013 $12K<\/span><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Matter management integration<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$4K \u2013 $8K<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Clio, MyCase, Thomson Reuters<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Document editor interface<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$8K \u2013 $15K<\/span><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">AWS + SOC 2 + VAPT<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$5K \u2013 $10K<\/span><\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td><b>Total<\/b><\/td>\n<td><b>$69K \u2013 $134K<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Full legal AI platform<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-weight: 400;\">Contact: <\/span><a href=\"mailto:mayank@engineerbabu.com\"><b>mayank@engineerbabu.com<\/b><\/a><\/p>\n<h2><b>Conclusion<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">AI is transforming legal research by accelerating information retrieval while preserving the attorney&#8217;s professional judgment. The most valuable legal AI platforms are built around verified legal sources, transparent citations, and rigorous validation not unrestricted text generation.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">By combining semantic search, RAG, citation verification, and regulatory monitoring, firms can improve efficiency without sacrificing accuracy or compliance.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If you&#8217;re planning to build a secure legal AI platform for law firms, in-house legal teams, or compliance organizations, <\/span><a href=\"http:\/\/engineerbabu.com\"><span style=\"font-weight: 400;\">EngineerBabu<\/span><\/a><span style=\"font-weight: 400;\"> can help. Contact <\/span><a href=\"mailto:mayank@engineerbabu.com\"><span style=\"font-weight: 400;\">mayank@engineerbabu.com<\/span><\/a><span style=\"font-weight: 400;\"> to discuss your legal technology requirements.<\/span><\/p>\n<h2><b>Frequently Asked Questions<\/b><\/h2>\n<ul>\n<li aria-level=\"1\">\n<h3><b>What is RAG and why is it essential for legal AI?<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">RAG (Retrieval-Augmented Generation) grounds AI responses in specific retrieved documents rather than the LLM&#8217;s training knowledge. For legal AI, this is non-negotiable because pure LLM responses may hallucinate citations, generating plausible-sounding but fictional case references. An attorney who files a brief with hallucinated citations faces sanctions and potential bar discipline. With RAG, the LLM is provided actual case texts as context and instructed to cite only from those documents. If no relevant case exists, the system returns &#8220;no relevant case found&#8221; rather than generating a fabricated one.<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h3><b>How does the citation verifier work?<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The citation verifier runs four checks: existence (does the case at this citation exist in the corpus?), case name match, quotation accuracy (does any quoted passage match the actual case text character-by-character?), and precedential status (has the case been overruled on the point being cited?). The precedential status check uses the platform&#8217;s citator database, built by tracking each case&#8217;s subsequent history, identifying subsequent decisions that expressly overrule or distinguish the cited proposition. Citations flagged as overruled are highlighted before the attorney can file.<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h3><b>Can a legal AI platform integrate with existing law firm software?<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Yes. Enterprise legal AI platforms can integrate with practice management systems like Clio and MyCase, document management platforms, Microsoft 365, Google Workspace, CRM systems, and enterprise knowledge repositories.<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h3><b>How frequently should legal databases be updated?<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Ideally, legal databases should receive scheduled or near real-time updates as new judgments, statutes, regulations, and agency guidance become available. Continuous updates help ensure attorneys always work with current legal authorities.<\/span><\/p>\n<ul>\n<li aria-level=\"1\">\n<h3><b>Is legal AI suitable for in-house corporate legal teams?<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Absolutely. Corporate legal departments use AI for contract research, regulatory compliance, internal policy analysis, litigation support, legal knowledge management, and monitoring legislative or regulatory changes across multiple jurisdictions.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Legal research is one of the most time-intensive activities in legal practice. A junior associate may spend 40 to 60 hours researching precedents and drafting a single motion brief. AI legal research changes this not by replacing the lawyer&#8217;s judgment, but by making the research layer dramatically faster. The risk is hallucination. An AI that [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":23588,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1273,1271],"tags":[],"class_list":["post-23587","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-software-development"],"_links":{"self":[{"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/posts\/23587","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/comments?post=23587"}],"version-history":[{"count":2,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/posts\/23587\/revisions"}],"predecessor-version":[{"id":23609,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/posts\/23587\/revisions\/23609"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/media\/23588"}],"wp:attachment":[{"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/media?parent=23587"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/categories?post=23587"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/engineerbabu.com\/blog\/wp-json\/wp\/v2\/tags?post=23587"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}