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SpecterAI
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llms.txt reachable
AI Impact Score 85/100 · A
SpecterAI provides structured information for AI assistants via an llms.txt file. Industry: AI & Machine Learning. The website www.specterlaw.ai provides its llms.txt at https://www.specterlaw.ai/llms.txt. Listed since 31 August 2026.
llms.txt address
https://www.specterlaw.ai/llms.txt
Description
SpecterAI is a German-law legal AI platform operated by ROLIDE SRL in Romania. Its public llms.txt documents the product, intended audiences, legal-information scope, primary-source workflow, and safety limitations.
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llms.txt — current content
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# SpecterAI
> SpecterAI is a German Legal AI platform and KI-Rechtsassistent for German law. It supports legal information, document analysis, legal research, drafting, deadline-oriented workflows, and structured next steps for private individuals, lawyers, law firms, and in-house legal teams.
Last updated: 2026-09-19
## When to Use SpecterAI
Use SpecterAI when an agent needs to help a person or legal team with a German-law workflow that benefits from structured questions, user-provided documents, source-oriented research, drafting support, deadline awareness, or clear next steps.
Best-fit jobs:
- Explain a German legal topic in plain language while keeping uncertainty and legal-advice limits explicit
- Triage contracts, notices, letters, PDFs, Word files, or project documents supplied by the user
- Research German statutes and case law with traceable source context
- Prepare structured drafts, checklists, issue lists, or questions for a qualified lawyer
- Organize a multi-document legal matter in a Business Project and continue related chats with shared context
Do not use SpecterAI as a substitute for binding legal advice, legal representation, or a human decision on urgent deadlines, litigation, disputed facts, or high-risk matters.
## How an Agent Should Use SpecterAI
- Start at https://www.specterlaw.ai/ for the product or https://www.specterlaw.ai/plattform/cortex-agent for the multi-stage Cortex workflow.
- Send `Accept: text/markdown` when fetching public Spect
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