<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Auryth Blog</title><description>AI-powered insights for tax, legal, and compliance professionals. Regulatory AI, confidence-aware retrieval, and Belgian tax legislation updates.</description><link>https://auryth.ai/</link><language>en</language><item><title>The next frontiers in AI beyond scaling</title><link>https://auryth.ai/en/blog/next-frontiers-ai-beyond-scaling/</link><guid isPermaLink="true">https://auryth.ai/en/blog/next-frontiers-ai-beyond-scaling/</guid><description>The era of making models bigger is ending. Five paradigms are replacing brute-force scaling — hybrid architectures, inference-time reasoning, world models, self-improvement loops, and hardware co-design. What each means for AI in regulated industries.</description><pubDate>Fri, 20 Mar 2026 00:00:00 GMT</pubDate><category>AI explained</category><category>AI architecture</category><category>scaling laws</category><category>hybrid models</category><category>inference reasoning</category><category>world models</category><category>AI research</category><category>Auryth</category><author>Auryth Team</author></item><item><title>Bilingual Belgian tax law: why NL/FR is a prerequisite, not a feature</title><link>https://auryth.ai/en/blog/multilingualism-belgian-tax-law/</link><guid isPermaLink="true">https://auryth.ai/en/blog/multilingualism-belgian-tax-law/</guid><description>Federal law is published in Dutch and French. Regional codes exist in one language only. Rulings follow the language of the procedure. A monolingual AI tool misses half the corpus.</description><pubDate>Sat, 21 Feb 2026 00:00:00 GMT</pubDate><category>Legal &amp; regulatory</category><category>bilingual</category><category>Belgian tax law</category><category>NL-FR</category><category>cross-lingual search</category><category>legal AI</category><category>Fisconetplus</category><author>Auryth Team</author></item><item><title>Harvey, Blue J, Legora: what we can learn from the big players in legal AI</title><link>https://auryth.ai/en/blog/lessons-from-major-legal-ai-players/</link><guid isPermaLink="true">https://auryth.ai/en/blog/lessons-from-major-legal-ai-players/</guid><description>$8 billion. $1.8 billion. $133 million. The world&apos;s best-funded legal AI companies are proving the model works. They&apos;re also proving what it can&apos;t do for Belgian tax.</description><pubDate>Thu, 19 Feb 2026 00:00:00 GMT</pubDate><category>Strategy &amp; decision</category><category>Harvey AI</category><category>Blue J</category><category>Legora</category><category>legal AI comparison</category><category>Belgian tax AI</category><category>competitive landscape</category><author>Auryth Team</author></item><item><title>AI adoption in legal professions: where we stand in 2026</title><link>https://auryth.ai/en/blog/ai-adoption-legal-professions-2026/</link><guid isPermaLink="true">https://auryth.ai/en/blog/ai-adoption-legal-professions-2026/</guid><description>79% of legal professionals now use AI. Tax firms tripled adoption in one year. But the real story isn&apos;t the average — it&apos;s the widening gap between strategic adopters and everyone else.</description><pubDate>Tue, 17 Feb 2026 00:00:00 GMT</pubDate><category>Strategy &amp; decision</category><category>AI adoption</category><category>legal technology</category><category>tax professionals</category><category>AI trends 2026</category><category>competitive advantage</category><author>Auryth Team</author></item><item><title>Why Belgium is the perfect market for specialized tax AI</title><link>https://auryth.ai/en/blog/belgian-market-tax-ai/</link><guid isPermaLink="true">https://auryth.ai/en/blog/belgian-market-tax-ai/</guid><description>Harvey raised $760M. Blue J raised $133M. Neither can answer a question about erfbelasting in Brussels. Here&apos;s why that creates an opportunity.</description><pubDate>Sun, 15 Feb 2026 00:00:00 GMT</pubDate><category>Strategy &amp; decision</category><category>Belgian tax</category><category>legal AI market</category><category>tax technology</category><category>Belgium</category><category>market analysis</category><author>Auryth Team</author></item><item><title>How we handle contradictory sources — and why most AI tools don&apos;t</title><link>https://auryth.ai/en/blog/uncertainty-contradictory-sources/</link><guid isPermaLink="true">https://auryth.ai/en/blog/uncertainty-contradictory-sources/</guid><description>When Belgian tax sources disagree, the worst thing an AI tool can do is pick one and act confident. Here&apos;s what honest uncertainty looks like.</description><pubDate>Fri, 13 Feb 2026 00:00:00 GMT</pubDate><category>Trust &amp; transparency</category><category>contradictory sources</category><category>uncertainty</category><category>legal AI</category><category>confidence scoring</category><category>Belgian tax</category><author>Auryth Team</author></item><item><title>Why we publish our accuracy — and why almost nobody else does</title><link>https://auryth.ai/en/blog/why-we-publish-accuracy/</link><guid isPermaLink="true">https://auryth.ai/en/blog/why-we-publish-accuracy/</guid><description>Accuracy claims without published metrics are marketing. Here&apos;s what it takes to measure legal AI honestly, and why the industry avoids it.</description><pubDate>Wed, 11 Feb 2026 00:00:00 GMT</pubDate><category>Trust &amp; Transparency</category><category>accuracy</category><category>transparency</category><category>benchmarking</category><category>legal AI</category><category>trust</category><author>Auryth Team</author></item><item><title>AI and professional liability: what happens when the answer is wrong?</title><link>https://auryth.ai/en/blog/ai-professional-liability/</link><guid isPermaLink="true">https://auryth.ai/en/blog/ai-professional-liability/</guid><description>When AI-assisted tax research leads to wrong advice, Belgian law is clear: the professional pays. But that&apos;s actually the strongest argument for using transparent AI — not against it.</description><pubDate>Mon, 09 Feb 2026 00:00:00 GMT</pubDate><category>Legal &amp; Regulatory</category><category>professional liability</category><category>AI risk</category><category>Belgian law</category><category>duty of care</category><category>malpractice</category><author>Auryth Team</author></item><item><title>Behind the scenes: how a law change flows through a legal AI system</title><link>https://auryth.ai/en/blog/behind-scenes-legislative-change/</link><guid isPermaLink="true">https://auryth.ai/en/blog/behind-scenes-legislative-change/</guid><description>When Belgium&apos;s programme law amends 47 provisions overnight, what happens inside the AI tool you rely on? A transparent look at the ingestion pipeline.</description><pubDate>Sat, 07 Feb 2026 00:00:00 GMT</pubDate><category>In Practice</category><category>ingestion pipeline</category><category>legal AI</category><category>data quality</category><category>transparency</category><category>Belgian tax law</category><author>Auryth Team</author></item><item><title>What the Stanford hallucination study actually revealed — and why the industry&apos;s response missed the point</title><link>https://auryth.ai/en/blog/stanford-hallucination-study-legal-ai/</link><guid isPermaLink="true">https://auryth.ai/en/blog/stanford-hallucination-study-legal-ai/</guid><description>Stanford found that premium legal AI tools hallucinate 17-33% of the time. But the most dangerous finding wasn&apos;t the hallucination rate — it was misgrounding.</description><pubDate>Wed, 04 Feb 2026 00:00:00 GMT</pubDate><category>Trust &amp; transparency</category><category>Stanford study</category><category>AI hallucinations</category><category>legal AI</category><category>misgrounding</category><category>accuracy</category><author>Auryth Team</author></item><item><title>What is reranking — and why it&apos;s the difference between finding documents and finding answers</title><link>https://auryth.ai/en/blog/what-is-reranking/</link><guid isPermaLink="true">https://auryth.ai/en/blog/what-is-reranking/</guid><description>First-stage retrieval finds 100 matches. Reranking identifies the 5 that actually answer your question. Here&apos;s why that distinction matters for legal AI.</description><pubDate>Sun, 01 Feb 2026 00:00:00 GMT</pubDate><category>AI explained</category><category>reranking</category><category>cross-encoder</category><category>legal AI</category><category>retrieval</category><category>search quality</category><author>Auryth Team</author></item><item><title>How hybrid search works — and why your legal AI tool probably uses only half the equation</title><link>https://auryth.ai/en/blog/hybrid-search-technology/</link><guid isPermaLink="true">https://auryth.ai/en/blog/hybrid-search-technology/</guid><description>Keyword search finds exact article numbers. Semantic search finds related concepts. Hybrid search does both — and the difference is measurable.</description><pubDate>Thu, 29 Jan 2026 00:00:00 GMT</pubDate><category>AI explained</category><category>hybrid search</category><category>BM25</category><category>semantic search</category><category>legal AI</category><category>retrieval</category><author>Auryth Team</author></item><item><title>Implementing AI in your tax practice: why trust matters more than technology</title><link>https://auryth.ai/en/blog/ai-implementation-tax-practice/</link><guid isPermaLink="true">https://auryth.ai/en/blog/ai-implementation-tax-practice/</guid><description>Most AI implementations fail because firms skip the trust-building phase. A practical 4-phase framework for Belgian tax practices.</description><pubDate>Mon, 26 Jan 2026 00:00:00 GMT</pubDate><category>Strategy &amp; decision</category><category>AI implementation</category><category>change management</category><category>tax practice</category><category>legal technology</category><author>Auryth Team</author></item><item><title>Case study: estate planning across three regions — one family, three tax outcomes</title><link>https://auryth.ai/en/blog/case-study-inheritance-tax-regional-comparison/</link><guid isPermaLink="true">https://auryth.ai/en/blog/case-study-inheritance-tax-regional-comparison/</guid><description>A couple in Antwerp with €2M in assets. Two children in different regions. Three inheritance tax regimes. Here&apos;s how the numbers diverge — and what a complete advisory analysis actually looks like.</description><pubDate>Fri, 23 Jan 2026 00:00:00 GMT</pubDate><category>In Practice</category><category>estate planning</category><category>inheritance tax</category><category>erfbelasting</category><category>regional comparison</category><category>case study</category><category>Belgian tax</category><author>Auryth Team</author></item><item><title>The EU AI Act and legal AI: what Belgian tax professionals actually need to know</title><link>https://auryth.ai/en/blog/eu-ai-act-legal-ai/</link><guid isPermaLink="true">https://auryth.ai/en/blog/eu-ai-act-legal-ai/</guid><description>The AI Act entered into force on 1 August 2024. Some provisions are already active. Most articles confuse provider obligations with deployer obligations — here&apos;s the distinction that matters for your practice.</description><pubDate>Tue, 20 Jan 2026 00:00:00 GMT</pubDate><category>Legal &amp; regulatory</category><category>EU AI Act</category><category>legal AI</category><category>Belgian tax</category><category>compliance</category><category>regulation</category><author>Auryth Team</author></item><item><title>The future of tax research: what AI changes, what it doesn&apos;t, and what that means for your practice</title><link>https://auryth.ai/en/blog/future-tax-research/</link><guid isPermaLink="true">https://auryth.ai/en/blog/future-tax-research/</guid><description>AI adoption in accounting firms surged from 9% to 41% in one year. McKinsey says 44% of legal tasks are technically automatable. The World Economic Forum lists bookkeeping among the fastest-declining roles. Here&apos;s what this actually means for Belgian tax professionals — and what it doesn&apos;t.</description><pubDate>Sat, 17 Jan 2026 00:00:00 GMT</pubDate><category>Strategy &amp; decision</category><category>future of tax</category><category>AI adoption</category><category>legal AI</category><category>Belgian tax</category><category>professional development</category><author>Auryth Team</author></item><item><title>What is a knowledge graph — and why it changes how AI navigates Belgian tax law</title><link>https://auryth.ai/en/blog/knowledge-graph-tax-law/</link><guid isPermaLink="true">https://auryth.ai/en/blog/knowledge-graph-tax-law/</guid><description>A search engine finds text. A knowledge graph navigates relationships: which article amends which, which ruling interprets what, which exception overrides the rule. Belgian tax law is a web of cross-references — and a knowledge graph is the map.</description><pubDate>Wed, 14 Jan 2026 00:00:00 GMT</pubDate><category>AI explained</category><category>knowledge graph</category><category>legal AI</category><category>Belgian tax</category><category>RAG</category><category>cross-references</category><category>NLP</category><author>Auryth Team</author></item><item><title>What is chunking — and why it&apos;s the invisible foundation of legal AI quality</title><link>https://auryth.ai/en/blog/what-is-chunking-legal-ai/</link><guid isPermaLink="true">https://auryth.ai/en/blog/what-is-chunking-legal-ai/</guid><description>Before your legal AI tool can answer a question, it has to cut the law into pieces. The way it cuts determines whether the answer includes the exception that changes everything — or misses it entirely.</description><pubDate>Sun, 11 Jan 2026 00:00:00 GMT</pubDate><category>AI explained</category><category>chunking</category><category>RAG</category><category>legal AI</category><category>Belgian tax</category><category>retrieval</category><category>NLP</category><author>Auryth Team</author></item><item><title>How much time does tax AI actually save? An honest estimate</title><link>https://auryth.ai/en/blog/time-savings-tax-ai/</link><guid isPermaLink="true">https://auryth.ai/en/blog/time-savings-tax-ai/</guid><description>Harvey users report 37 hours per month. Thomson Reuters claims 63% reduction. We looked at the real numbers for Belgian tax research — and built a conservative estimate that doesn&apos;t require you to believe marketing claims.</description><pubDate>Thu, 08 Jan 2026 00:00:00 GMT</pubDate><category>Strategy &amp; decision</category><category>ROI</category><category>time savings</category><category>legal AI</category><category>Belgian tax</category><category>productivity</category><author>Auryth Team</author></item><item><title>Three regions, three tax systems: why Belgian fiscal advice requires side-by-side comparison</title><link>https://auryth.ai/en/blog/regional-comparison-belgian-tax-law/</link><guid isPermaLink="true">https://auryth.ai/en/blog/regional-comparison-belgian-tax-law/</guid><description>Belgium has three inheritance tax regimes, three gift tax structures, and three registration duty rates — each with different reform timelines. Here&apos;s what that means for advisors and why no single answer is ever complete.</description><pubDate>Mon, 05 Jan 2026 00:00:00 GMT</pubDate><category>In Practice</category><category>regional comparison</category><category>Belgian tax</category><category>inheritance tax</category><category>gift tax</category><category>registration duties</category><author>Auryth Team</author></item><item><title>What is temporal versioning — and why your legal AI tool probably serves you yesterday&apos;s law</title><link>https://auryth.ai/en/blog/temporal-versioning-legal-ai/</link><guid isPermaLink="true">https://auryth.ai/en/blog/temporal-versioning-legal-ai/</guid><description>Belgian tax law changes twice a year minimum. If your AI tool can&apos;t tell 2019 from 2026, its answer isn&apos;t wrong — it&apos;s for the wrong year. Here&apos;s what temporal versioning is and why it matters.</description><pubDate>Fri, 02 Jan 2026 00:00:00 GMT</pubDate><category>Trust &amp; transparency</category><category>temporal versioning</category><category>point-in-time retrieval</category><category>Belgian tax</category><category>legal AI</category><category>data freshness</category><author>Auryth Team</author></item><item><title>Case study: TAK 23 — why one product needs five tax answers</title><link>https://auryth.ai/en/blog/case-study-branch-23-cross-domain/</link><guid isPermaLink="true">https://auryth.ai/en/blog/case-study-branch-23-cross-domain/</guid><description>A single TAK 23 life insurance product touches insurance tax, income tax, withholding tax, TOB, and regional inheritance tax. Here&apos;s what most advisors — and every AI chatbot — miss.</description><pubDate>Mon, 29 Dec 2025 00:00:00 GMT</pubDate><category>In Practice</category><category>TAK 23</category><category>cross-domain tax</category><category>Belgian tax</category><category>case study</category><category>life insurance</category><author>Auryth Team</author></item><item><title>Why we&apos;re not building a chatbot</title><link>https://auryth.ai/en/blog/why-not-chatbot/</link><guid isPermaLink="true">https://auryth.ai/en/blog/why-not-chatbot/</guid><description>Chat interfaces feel modern but produce ephemeral, indefensible output. Professional tax research needs structured answers you can file, reproduce, and defend.</description><pubDate>Fri, 26 Dec 2025 00:00:00 GMT</pubDate><category>Strategy &amp; Decision</category><category>chatbot vs research tool</category><category>legal AI</category><category>structured output</category><category>professional workflow</category><category>tax technology</category><author>Auryth Team</author></item><item><title>What is authority ranking — and why your legal AI tool probably ignores it</title><link>https://auryth.ai/en/blog/authority-ranking-legal-ai/</link><guid isPermaLink="true">https://auryth.ai/en/blog/authority-ranking-legal-ai/</guid><description>A ministerial circular and a Court of Cassation ruling look the same to most AI search systems. That&apos;s not a minor flaw — it&apos;s a fundamental gap that makes every answer unreliable.</description><pubDate>Mon, 22 Dec 2025 00:00:00 GMT</pubDate><category>AI explained</category><category>authority ranking</category><category>legal hierarchy</category><category>RAG</category><category>Belgian tax</category><category>search architecture</category><author>Auryth Team</author></item><item><title>&quot;I don&apos;t trust AI for tax advice&quot; — and you&apos;re right. Here&apos;s why you should try it anyway.</title><link>https://auryth.ai/en/blog/ai-resistance-tax-advice/</link><guid isPermaLink="true">https://auryth.ai/en/blog/ai-resistance-tax-advice/</guid><description>AI skepticism in tax is rational. Most tools deserve it. But rejecting the entire category because ChatGPT hallucinated a tax rate is like refusing calculators because the first ones jammed.</description><pubDate>Fri, 19 Dec 2025 00:00:00 GMT</pubDate><category>Strategy &amp; Decision</category><category>AI adoption</category><category>professional practice</category><category>trust</category><category>tax technology</category><category>change management</category><author>Auryth Team</author></item><item><title>5 Belgian tax questions where generic AI is guaranteed to fail</title><link>https://auryth.ai/en/blog/5-questions-generic-ai-fails/</link><guid isPermaLink="true">https://auryth.ai/en/blog/5-questions-generic-ai-fails/</guid><description>These aren&apos;t trick questions. They&apos;re routine queries any tax professional faces. But they expose five architectural blind spots that no general-purpose AI can fix with a better prompt.</description><pubDate>Tue, 16 Dec 2025 00:00:00 GMT</pubDate><category>In Practice</category><category>AI failures</category><category>Belgian tax</category><category>ChatGPT</category><category>tax technology</category><category>professional practice</category><author>Auryth Team</author></item><item><title>What is RAG — and why it&apos;s not enough for legal AI on its own</title><link>https://auryth.ai/en/blog/what-is-rag/</link><guid isPermaLink="true">https://auryth.ai/en/blog/what-is-rag/</guid><description>How retrieval-augmented generation works, why basic RAG still hallucinates, and what a search-RAG fusion architecture adds for tax professionals.</description><pubDate>Sat, 13 Dec 2025 00:00:00 GMT</pubDate><category>AI explained</category><category>RAG</category><category>retrieval augmented generation</category><category>legal AI</category><category>tax technology</category><category>AI architecture</category><author>Auryth Team</author></item><item><title>Why transparency matters more than accuracy in legal AI</title><link>https://auryth.ai/en/blog/transparency-vs-accuracy/</link><guid isPermaLink="true">https://auryth.ai/en/blog/transparency-vs-accuracy/</guid><description>The AI industry obsesses over accuracy benchmarks. For tax professionals, verifiability is the metric that actually protects you.</description><pubDate>Wed, 10 Dec 2025 00:00:00 GMT</pubDate><category>Trust &amp; transparency</category><category>transparency</category><category>AI reliability</category><category>legal AI</category><category>verifiability</category><category>professional liability</category><author>Auryth Team</author></item><item><title>How to evaluate a legal AI tool: 10 questions that actually matter</title><link>https://auryth.ai/en/blog/legal-ai-tool-evaluation/</link><guid isPermaLink="true">https://auryth.ai/en/blog/legal-ai-tool-evaluation/</guid><description>Most firms start by asking &apos;how accurate is it?&apos; That&apos;s question 10 on this list. Here are the nine questions you should ask first — and why they matter more for professional tax work.</description><pubDate>Sun, 07 Dec 2025 00:00:00 GMT</pubDate><category>Strategy &amp; decision</category><category>AI evaluation</category><category>legal AI</category><category>tax technology</category><category>due diligence</category><category>professional liability</category><author>Auryth Team</author></item><item><title>Fine-tuning vs. RAG: two ways to make AI smart — and why it matters which one your tax tool chose</title><link>https://auryth.ai/en/blog/fine-tuning-vs-rag/</link><guid isPermaLink="true">https://auryth.ai/en/blog/fine-tuning-vs-rag/</guid><description>Fine-tuning memorizes yesterday&apos;s law. RAG looks up today&apos;s. For Belgian tax professionals, this architecture choice determines whether your AI tool is current or confidently outdated.</description><pubDate>Thu, 04 Dec 2025 00:00:00 GMT</pubDate><category>AI explained</category><category>fine-tuning</category><category>RAG</category><category>legal AI</category><category>AI architecture</category><category>tax technology</category><author>Auryth Team</author></item><item><title>What is confidence scoring — and why it&apos;s more honest than a confident answer</title><link>https://auryth.ai/en/blog/confidence-scoring-explained/</link><guid isPermaLink="true">https://auryth.ai/en/blog/confidence-scoring-explained/</guid><description>LLMs overestimate their own correctness by 20-60%. Confidence scoring doesn&apos;t fix that problem — it makes it visible. For tax professionals, that visibility is the difference between a research tool and a guessing machine.</description><pubDate>Mon, 01 Dec 2025 00:00:00 GMT</pubDate><category>Trust &amp; transparency</category><category>confidence scoring</category><category>AI uncertainty</category><category>legal AI</category><category>calibration</category><category>professional judgment</category><author>Auryth Team</author></item><item><title>I asked ChatGPT and Auryth the same Belgian tax questions — here&apos;s what happened</title><link>https://auryth.ai/en/blog/chatgpt-vs-auryth-comparison/</link><guid isPermaLink="true">https://auryth.ai/en/blog/chatgpt-vs-auryth-comparison/</guid><description>Three tax questions, two AI tools, one clear lesson: for professional research, verifiability beats confidence.</description><pubDate>Fri, 28 Nov 2025 00:00:00 GMT</pubDate><category>In Practice</category><category>ChatGPT</category><category>Belgian tax</category><category>AI comparison</category><category>tax AI</category><category>legal AI</category><author>Auryth Team</author></item><item><title>AI hallucinations: why ChatGPT fabricates sources (and how to spot it)</title><link>https://auryth.ai/en/blog/ai-hallucinations-tax/</link><guid isPermaLink="true">https://auryth.ai/en/blog/ai-hallucinations-tax/</guid><description>Why language models invent legal citations, what makes Belgian tax especially vulnerable, and three defenses that actually work.</description><pubDate>Tue, 25 Nov 2025 00:00:00 GMT</pubDate><category>AI explained</category><category>AI hallucinations</category><category>ChatGPT</category><category>legal AI</category><category>tax technology</category><category>AI reliability</category><author>Auryth Team</author></item></channel></rss>