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    <title>Privacy on HyperCrux.com</title>
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    <description>Recent content in Privacy on HyperCrux.com</description>
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      <title>A Law Firm&#39;s Clause Library That Stays in the Office: Similar Clauses, Precedents and Client Links</title>
      <link>https://hypercrux.com/a-law-firms-clause-library-that-stays-in-the-office-similar-clauses-precedents-and-client-links/</link>
      <pubDate>Wed, 07 Oct 2026 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;Consider a commercial law firm of twenty lawyers. Over the years it has worked on thousands of contracts, and somewhere among them is the best indemnity clause it ever negotiated for a food distributor. A lawyer drafting a new one wants to find it, along with a few others like it under English law, and to know which of the firm&amp;rsquo;s templates each one started from.&lt;/p&gt;&#xA;&lt;p&gt;The obvious tool would be a search service with AI built in, and that&amp;rsquo;s where the firm stops. Client contracts are confidential, and the partners won&amp;rsquo;t send their text to a cloud service to be indexed, however good the terms look. Whatever they use has to keep everything, embeddings included, on the firm&amp;rsquo;s own machines.&lt;/p&gt;</description>
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      <title>An AI Assistant&#39;s Memory That Forgets Properly: People, Facts and Embeddings in One Transaction</title>
      <link>https://hypercrux.com/an-ai-assistants-memory-that-forgets-properly-people-facts-and-embeddings-in-one-transaction/</link>
      <pubDate>Wed, 07 Oct 2026 00:00:00 +0000</pubDate>
      <guid>https://hypercrux.com/an-ai-assistants-memory-that-forgets-properly-people-facts-and-embeddings-in-one-transaction/</guid>
      <description>&lt;p&gt;Say you&amp;rsquo;re building an assistant for account managers. It listens to what they tell it and keeps the useful parts, like Dana preferring calls after ten or Acme renewing in March. Before it answers a message, it pulls up the memories that matter and puts them in front of the language model.&lt;/p&gt;&#xA;&lt;p&gt;Two kinds of lookup hide in that. One is about meaning: which memories are closest to what was just said. The other is about people: which memories are about Dana. Then comes the part most memory setups handle badly. When Dana asks to be forgotten, every memory about her has to go, vectors included, and a copy left behind in a search index means the job isn&amp;rsquo;t done.&lt;/p&gt;</description>
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      <title>Matching Candidates to Jobs and Deleting Them Cleanly: A Small Recruiting Agency on HyperCrux</title>
      <link>https://hypercrux.com/matching-candidates-to-jobs-and-deleting-them-cleanly-a-small-recruiting-agency-on-hypercrux/</link>
      <pubDate>Wed, 07 Oct 2026 00:00:00 +0000</pubDate>
      <guid>https://hypercrux.com/matching-candidates-to-jobs-and-deleting-them-cleanly-a-small-recruiting-agency-on-hypercrux/</guid>
      <description>&lt;p&gt;Say a four-person agency places data engineers and analysts, and holds about 8,000 CVs. When a client sends a new job, the first move is a shortlist: the people whose experience is closest to the job description, among those who are available and haven&amp;rsquo;t already applied. Pitching someone for a job they applied to last week is a quick way to look careless in front of a client.&lt;/p&gt;&#xA;&lt;p&gt;The agency also holds personal data, and that comes with duties. Under data protection law a candidate can ask to be deleted, and the agency&amp;rsquo;s own policy says CVs go two years after the last contact. Either way the CV has to go along with everything made from it, the vector included, and every link that ties the person to jobs and clients.&lt;/p&gt;</description>
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