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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Germany’s Handelsregister via API: what the record actually shows

    OpenRegistry has developed a new API that provides direct access to Germany's Handelsregister, the official registry of companies. This API returns raw, unaggregated data from individual regional courts, preserving original German labels and details like company names, legal forms, registered addresses, and officer roles. While it offers granular information on corporate structure and filings, it does not include ultimate beneficial ownership (UBO) data, which is maintained in a separate registry, nor does it automatically parse shareholder lists from PDF documents. AI

    Germany’s Handelsregister via API: what the record actually shows

    IMPACT Provides developers and researchers with direct programmatic access to German corporate data, streamlining investigative journalism and legal due diligence.

  2. Italy's Business Register via BRIS: fields returned

    Italy's Registro delle Imprese, managed by chambers of commerce, stores company filings, with a cross-border slice published via the EU Business Registers Interconnection System (BRIS). While BRIS provides harmonized data for EU lookups, it only exposes statutory fields and omits full details like beneficial ownership. Practitioners often resort to direct chamber extracts (visura camerale) for comprehensive information, as BRIS may lack full documents or sensitive data. AI

    IMPACT Provides access to harmonized Italian company data for compliance and business intelligence, though beneficial ownership information is restricted.

  3. LP-Eval: Rubric and Dataset for Measuring the Quality of Legal Proposition Generation

    Researchers have developed LP-Eval, a new rubric and dataset designed to measure the quality of legal propositions generated by large language models. Co-created with legal experts, the rubric assesses propositions based on formal validity and substantive dimensions, using decisions from the Court of Justice of the European Union. The findings indicate that LLMs can produce well-formed legal propositions, with quality varying based on the recency of the source cases. Additionally, the study found that LLMs can act as evaluators, showing better alignment with expert assessments when guided by the rubric compared to direct scoring. AI

    LP-Eval: Rubric and Dataset for Measuring the Quality of Legal Proposition Generation

    IMPACT Provides a structured method for evaluating the quality of AI-generated legal text, potentially improving LLM performance in legal applications.