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Die Inhalte dieser Website stehen, sofern nicht anders angegeben, unter einer Creative Commons Attribution 4.0 International.Die Inhalte dieser Website stehen, sofern nicht anders angegeben, unter einer Creative Commons Attribution 4.0 International.
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Join our Slack \ud83c\udfc0 Backboard![](\"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openlegallab/1/WKK4RKWW525OKZ4AH3GQ7VYT/anreisemagglingenausfall.jpg\" "\\"Ausfall")
\r\n\r\n# Program\r\n\r\n**Sonntag**, 30. April 2023\r\n\r\n- Ab 09:30 Empfang (Kaffee & Gipfeli) im Swiss Olympic House in Magglingen\r\n- 10:00 \u2013 11:00 Begr\u00fcssung, Pr\u00e4sentationen der Challenges\r\n- 11:00 \u2013 11:30 Zusammensetzung der Teams f\u00fcr die Arbeit an den Challenges\r\n- 11:30 \u2013 open end Arbeit an den Challenges\r\n\r\n**Montag**, 1. Mai 2023\r\n\r\n- 8:00 \u2013 14:00 Fortsetzung Arbeit an den Challenges\r\n- 15:30 \u2013 17:00 Pr\u00e4sentation der Ergebnisse, Verabschiedung\r\n- Ab 17:00 Ap\u00e9ro\r\n\r\n![](\"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/public/163/BJKGG7CJ50XD5BLIZ7LUFLKG/IMG_20220327_081650.jpg\")
\r\n\r\n","ends_at":"2023-05-01T18:00","gallery_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openlegallab/1/PUEU2ZV1S74627FXN9D3Y4W3/IMG_20220327_08015201.jpeg","has_finished":true,"has_started":false,"hashtags":"#OpenLegalLab","hostname":"eJustice.CH Opendata.ch","id":63,"instruction":"","location":"Magglingen","location_lat":0.0,"location_lon":0.0,"logo_url":"https://opendata.ch/wordpress/files/2022/12/LegalLab_2023_Web_021.jpg","name":"Open Legal Lab 2023","starts_at":"2023-04-30T11:00","summary":"Entwickle in interdisziplin\u00e4ren Teams neue digitale L\u00f6sungen f\u00fcr das Schweizer Rechtssystem","webpage_url":"https://opendata.ch/events/open-legal-lab-2023/"}],"name":"events"},{"data":[{"autotext":"# Crossrecherche\r\nCrossrecherche nach juristischen Inhalten in akademischen Datebanken\r\n\r\n## Purpose and Requirements\r\nThis is a prototype to have a combined search in different academic databases with a focus on legal content.\r\nThe requirement can be found in \"Leistungsbeschrieb.pdf\" in this repository.\r\nA proposition of layouts can be found here: https://www.figma.com/proto/9ZuPfkKwlPOt3vIWMW1FVr/Sci-Gate?node-id=2%3A2&scaling=min-zoom&page-id=0%3A1&starting-point-node-id=5%3A716\r\nThe first layout implemented will be the tabs view (page 3). The layouts on page 2 (parallel view) and page 5 (mixed view) might be added at a later stage.\r\n\r\n## Architecture\r\nA serverless and web-application will access proxies for the different search engines. These proxies are availabe for Boris, Zora, Swisscovery and entscheidsuche.ch.\r\n\r\n## Proxy-API\r\nThese procies have a JSON REST-API:\r\n\r\n### General usage\r\n- address: http://v2202109132150164038.luckysrv.de:8080/\r\n- Input JSON \r\n - type: search|hitlist\r\n - engine: entscheidsuche|swisscovery|boris|zora\r\n- Output JSON\r\n - status: ok|error\r\n - error: Error message (only present if status=error\r\n\r\n### type=search\r\n(Only additional parameters described here)\r\n\r\n- Input JSON\r\n - term: search term or search terms, no syntax translation is currently done for the search engines\r\n- Output JSON\r\n - hits: number of hits for the search\r\n\r\n### type=hitlist\r\n(Only additional parameters described here)\r\n\r\n- Input JSON\r\n - term: search term or search terms, no syntax translation is currently done for the search engines\r\n - start: position in the hitlist to start (default=0) a position beyond the length of the hitlist will generate an error\r\n - count: number of hits to fetch (default=10). There is no maxmimum\r\n- Output JSON\r\n - start: offset where the list starts\r\n - searchterm: searchterm used\r\n - hitlist: list of hits every hit has the following attributes\r\n - description: list of 3 strings describing the hit. As markup can be included -Tags with the classes hl1 and hl2 for bold and italic.\r\n - url: URL to the hit at the search engine. Can be opened without context and should be opened in a new tab\r\n","autotext_url":"https://github.com/Velofisch/Crossrecherche-proxies","category_id":"","category_name":"","contact_url":"https://github.com/Velofisch/Crossrecherche-proxies/issues","created_at":"2023-04-25T17:31","download_url":"https://github.com/Velofisch/Crossrecherche-proxies/releases","event_name":"Open Legal Lab 2023","event_url":"https://hack.opendata.ch/event/63","excerpt":"*I. The project*\r\n\r\nThe project aims to create legal data showcase, in other words:\r\n\r\n* a unified search entry point into today's highly fragmented landscape of legal databases, and\r\n* at the same time a low-threshold, accessible one-stop-shop for legal data.\r\n\r\nTraditionally, libraries have been the gatekeepers for access to legal data, especially legal texts, but also legal data in the broadest sense. Libraries not only made this data spatially accessible, but also added metadata that made th...","hashtag":"5","id":987,"ident":null,"image_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openlegallab/63/JQA58HC2YPAZ7KF53ZCXP5OA/scigateKlein.png","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","longtext":"*I. The project*\r\n\r\nThe project aims to create legal data showcase, in other words:\r\n\r\n* a unified search entry point into today's highly fragmented landscape of legal databases, and\r\n* at the same time a low-threshold, accessible one-stop-shop for legal data.\r\n\r\nTraditionally, libraries have been the gatekeepers for access to legal data, especially legal texts, but also legal data in the broadest sense. Libraries not only made this data spatially accessible, but also added metadata that made the data itself searchable and discoverable.\r\nThis role of libraries has changed significantly in recent years. Today, legal data are often made available in databases by different actors, with different access and accessibility.The current fragmentation of access to legal data affects national and international research and its visibility. The project \"Gateway to Legal Data\" tries to create a counterbalance. Beyond the existing and desirable diversity of data sources, a unified search entry as well as a one-stop-shop for legal data shall be created. Its architecture can be described as follows:\r\n\r\n\r\n\r\n**II. The Challenge**\r\n\r\nA running prototype can be found here: [www.scigate.online](https://www.scigate.online). The system is in part modularized and should be further modularized. In particular, data sources should be extended, and data aggregation added while supporting more search functionality. The linchpin of scigate.online are so-called proxies, whose task is to address data sources, translate their response and homogenize as far as possible the data to allow a unified search and access via scigate.online.\r\n\r\n1. Part of the challenge will be to build more proxies to connect additional data sources, such as fedlex and other legal data sources, to the platform. This data will be harmonized as much as possible so that it can be made available via a uniformed API. In the future, this should minimize the need to write a new scraper for each legal data research project.\r\n2. Another part of the challenge will be to present the data as search results on the platform. The proxies currently collect three lines for each entry plus a link to display the entry. The selection of what should be displayed for each entry, how it could be displayed and what existing functionality of the source systems might be used to render the search as user-friendly as possible, could be optimized. The search could also be extended by including facets or auto completion.\r\n3. Finally, the retrieved hitlists and documents (until now only for entscheidsuche) could be used to provide additional functionality. They could be fed into AI to mark the most relevant passages, to have an automated summary or to answer a natural language query.\r\n\r\nhttps://challenges.openlegallab.ch/project/54\r\n\r\n**III. Resources**\r\n\r\nRunning prototype: [scigate.online](http://v2202109132150164038.luckysrv.de/)\r\n\r\nThe different code bases can be found here:\r\n\r\n* The common search interface: [https://github.com/Velofisch/crossrecherche-ui](https://github.com/Velofisch/crossrecherche-ui)\r\n* The proxies to connect the different search engines: [https://github.com/Velofisch/Crossrecherche-proxies](https://github.com/Velofisch/Crossrecherche-proxies)\r\n* The API to bulk download results: [https://github.com/Velofisch/Scigate-API](https://github.com/Velofisch/Scigate-API)\r\n* The UI of entscheidsuche: [https://github.com/entscheidsuche/entscheidsuche-vue](https://github.com/entscheidsuche/entscheidsuche-vue)\r\n\r\nQuestions can be addressed at [joern@erbguth.net](joern@erbguth.net)\r\n\r\n\ud83d\udcce [Magglingen 2023.pdf](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openlegallab/77/OUKM032X8X5A3HOQEJV1B3EB/Magglingen_2023.pdf)","maintainer":"","name":"Gateway to Legal Data","phase":"Research","progress":10,"score":72,"source_url":"https://github.com/Velofisch/Crossrecherche-proxies","stats":{"commits":0,"during":0,"people":0,"sizepitch":3871,"sizetotal":6187,"total":0,"updates":0},"summary":"A unified search entry point into today's highly fragmented legal database landscape and a one-stop shop for legal data.","team":"","team_count":0,"updated_at":"2023-05-01T22:31","url":"https://hack.opendata.ch/project/987","webpage_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openlegallab/63/Q1PV5KAVK6LPM3BKGT9MIJMK/20230430ScigtaePitch.pdf"},{"autotext":"\"Legaltech im Geseetzgebungsprozess\"
Challenge f\u00fcr das Open Legal Lab 2023
April 30 - May 1, 2023
Timothy Rabozzi
F\u00fcr meine Masterarbeit \"Legaltech im Geseetzgebungsprozess\" haben wir ein Prototyp einer Python-Applikation entwickelt, die neue Gesetzesvorlagen mit der bestehenden Schweizer Rechtssammlung vergleicht. Durch den Vergleich der Terminologie in den neuen Entw\u00fcrfen mit der bestehenden Gesetzgebung kann umfassend gepr\u00fcft werden, ob \u00e4hnliche Begriffe bereits verwendet werden oder ob der Entwurf un\u00fcbliche oder v\u00f6llig neue Terminologie einf\u00fchrt. So f\u00f6rdert der Algorithmus die Verwendung einer klaren Sprache, vermeidet unbekannte Rechtsbegriffe und tr\u00e4gt zu einem besseren Verst\u00e4ndnis der Texte bei, insbesondere f\u00fcr Menschen ohne juristisches Studium. \u00a0
Das Instrument k\u00f6nnte die Verst\u00e4ndlichkeit der Rechtssprache in einem fr\u00fcheren Stadium des Gesetzgebungsverfahrens verbessern. Obwohl der derzeitige Prozess von hoher Qualit\u00e4t ist, wird die Einbeziehung von neuen Technologien immer relevanter. Innerhalb der Verwaltung laufen mehrere Projekte, um zu untersuchen, wie Rechtstexte besser in eine digitale Umgebung integriert werden k\u00f6nnen.
Die Applikation wurde grob getestet und erforscht, es gibt aber noch einige Arbeit: Der Algorithmus muss weiterentwickelt und erweitert werden, die Datenbank sollte aktualisiert und besser integriert werden, und neue Funktionen k\u00f6nnten mit Users getestet, entwickelt und hinzugef\u00fcgt werden. \u00a0
Wir hatten die Gelegenheit, unsere Forschungsergebnisse in der Zeitschrift JUSLETTER-IT (https://jusletter-it.weblaw.ch/issues/2021/30-Juni-2021/legaltech-im-gesetzg_c9adbf9316.html__ONCE&login=false) \u00a0zu ver\u00f6ffentlichen, was zu einem Treffen mit Vertretern verschiedener Bundes\u00e4mter f\u00fchrte, um m\u00f6gliche Anwendungen und Mehrwertaspekte des Programms zu diskutieren. Ein weiteres Treffen ist in Planung.
","autotext_url":"https://docs.google.com/document/d/e/2PACX-1vSkeeKd1BsJpSewJ6S2MZudvG7nXnskSXQJFvxWynO_i6KPI1RxJJpJf9-GyZunFyzZ-J9D-8wmv-gr/pub","category_id":"","category_name":"","contact_url":"https://openlegallab.slack.com/archives/C055Z7GCZHP","created_at":"2023-03-03T12:53","download_url":"","event_name":"Open Legal Lab 2023","event_url":"https://hack.opendata.ch/event/63","excerpt":"- [Screencast der Webapp](https://youtu.be/bumjotb5YLE)\r\n- \ud83d\udcce [Presentation](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openlegallab/86/OYWAIBBQY1OHDHQSF4H4MCS4/pdfresizer.compdfresize1.pdf)\r\n- \ud83d\udcce [Jusletter - IT Legaltech im Gesetz](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openlegallab/86/V34I0PMD3BQPQKFEBCOUH60B/JusletterIT_legaltechimgesetzg_c9adbf9316_de.pdf)\r\n\r\nhttps://youtu.be/bumjotb5YLE\r\n\r\n# Challenge\r\n\r\nZiel unserer Challenge war...","hashtag":"10","id":988,"ident":null,"image_url":"","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","longtext":"- [Screencast der Webapp](https://youtu.be/bumjotb5YLE)\r\n- \ud83d\udcce [Presentation](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openlegallab/86/OYWAIBBQY1OHDHQSF4H4MCS4/pdfresizer.compdfresize1.pdf)\r\n- \ud83d\udcce [Jusletter - IT Legaltech im Gesetz](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openlegallab/86/V34I0PMD3BQPQKFEBCOUH60B/JusletterIT_legaltechimgesetzg_c9adbf9316_de.pdf)\r\n\r\nhttps://youtu.be/bumjotb5YLE\r\n\r\n# Challenge\r\n\r\nZiel unserer Challenge war es, ein Tool zu entwickeln, das eine klare und pr\u00e4zise Rechtssprache in Erlassen f\u00f6rdert, die koh\u00e4rente Verwendung von Rechtsbegriffen sicherstellt und Eugen Huber stolz machen w\u00fcrde. Die Idee war, eine Anwendung zu entwickeln, die neue Gesetzesentw\u00fcrfe automatisch mit bestehenden Rechtssammlungen vergleichen kann und dem:der Nutzer:in umgehend R\u00fcckmeldung \u00fcber die Wahl der Begriffe und deren sprachliche und juristische Koh\u00e4renz gibt.\r\nDie umgesetzte Anwendung bietet verschiedene Funktionen, wie z.B.:\r\n\r\n die Identifizierung neuartiger Begriffe, also solche, die bisher noch nicht in der SR verwendet werden;\r\n die Hervorhebung relevanter \u00dcbereinstimmungen mit bestehenden Begriffen; und\r\n die Bereitstellung von Kontextualisierungen, indem sie zeigt, wo und wie der Begriff in anderen Rechtsdokumenten verwendet wird.\r\n\r\nDieses Tool hilft den Verfassern von Rechtsvorschriften, diese verst\u00e4ndlicher zu gestalten und die Konsistenz der gesamten Rechtsordnung sicherstellen zu k\u00f6nnen. Dies f\u00f6rdert neben einer einheitlichen Nomenklatur auch die Rechtssicherheit.\r\n\r\nAls Ergebnis des Hackathons liegt nun eine entwickelte Web-App vor. Sie erm\u00f6glicht es den Benutzern, Entw\u00fcrfe durch Kopieren und Einf\u00fcgen von Text einzuspeisen, die gew\u00fcnschten Funktionen auszuw\u00e4hlen und direkt ein visuelles Feedback zum Entwurf zu erhalten.\r\n\r\nDie App erm\u00f6glicht auch ein Abgleich von Begriffsdaten mit Termdat. Hierzu ist einzig ein Klick auf den zu \u00fcberpr\u00fcfenden Begriff n\u00f6tig. Die App ist damit ein benutzerfreundliches Werkzeug, das den gesamten Prozess der Ausarbeitung und Bewertung neuer Rechtsvorschriften rationalisiert.\r\n\r\nZusammenfassend l\u00e4sst sich sagen, dass die Hackathon-Herausforderung zur Entwicklung einer innovativen Web-App f\u00fchrte, die die Klarheit und Koh\u00e4renz der Rechtssprache f\u00f6rdert. Durch den automatischen Vergleich von Gesetzesentw\u00fcrfen mit bestehenden Rechtssammlungen tr\u00e4gt die App dazu bei, dass Rechtsbegriffe korrekt und einheitlich verwendet werden, was letztlich zu einer verst\u00e4ndlicheren und leichter zug\u00e4nglichen Gesetzgebung f\u00fchrt und die Rechtssicherheit f\u00f6rdert.\r\n","maintainer":"Timothy","name":"LegalTech im Gesetzgebungs-prozess ","phase":"Training","progress":20,"score":62,"source_url":"https://docs.google.com/document/d/e/2PACX-1vSkeeKd1BsJpSewJ6S2MZudvG7nXnskSXQJFvxWynO_i6KPI1RxJJpJf9-GyZunFyzZ-J9D-8wmv-gr/pub","stats":{"commits":0,"during":0,"people":0,"sizepitch":2601,"sizetotal":4932,"total":0,"updates":0},"summary":"Weiterentwicklung eines Prototyps, um sicherzustellen, dass neue Gesetze eine koh\u00e4rente und unmissverst\u00e4ndliche Terminologie verwenden.","team":"Timothy","team_count":0,"updated_at":"2023-05-01T22:32","url":"https://hack.opendata.ch/project/988","webpage_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openlegallab/86/C3MB7D36J0T8COQBUIOR5MUS/pdfresizer.compdfresize1.pdf"},{"autotext":"# legal-instruct\r\n\r\n*\ud83d\udca1 Idea behind the challenge*: \r\n\r\nInstruction finetuning large language models (LLMs) has shown huge potential (see InstructGPT by OpenAI[^1]) this has further been improved by synthetically generated instructions using the [self instruct](https://arxiv.org/abs/2212.10560)[^2] method (see for example the [Stanford Alpaca model](https://crfm.stanford.edu/2023/03/13/alpaca.html). By instruction tuning smaller LLMs, those models are able to solve complex tasks. Most LLMs have some legal texts in their trainingdata, but will often mix different legal sources in their outputs (especially for Switzerland this is an issue, because German texts for the Swiss legal system will often be mixed with legal information from Austria and Germany, for French and Italian it's the same issue). Generating synthetic-only data is (apart from API usage limitations by for example OpenAI) therefore also not possible in the legal domain, as those _mixtures_ would be present in the generated data as well. \r\n\r\nCreating a legal-instruct dataset based on Swiss data is essential for finetuning large language models (LLMs) that are used in the (swiss) legal industry. This dataset would contain legal instructions in a structured and organized format (following the alpaca format), if possible in German, French and Italian. It would allow LLMs to learn the language and nuances of our legal system and legal tasks. By having access to this comprehensive dataset, LLMs would be able to better understand legal language and improve their ability to accurately perform legal tasks.\r\n\r\nMoreover, it is important that this dataset is openly available and allows for commercial use (the example of Alpaca is intended only for academic research and commercial use is prohibited). By creating an openly available and usable dataset, it would allow for broad implementation of the dataset and ensure that every open-source LLM could benefit from its use. This would not only benefit legal professionals (as many models could use that trainingdata freely) but also companies developing LLMs for the legal industry. An openly available legal-instruct dataset would also encourage collaboration and innovation in the field, ultimately leading to better outcomes for all.\r\n\r\n\r\n## \ud83c\udfaf Goal of the challenge\r\n* Create and release a legal-instruct dataset to huggingface with an open license.\r\n* Finetune a LLM with the created dataset.\r\n\r\n## Possible tasks:\r\n* Writing clauses and legal texts\r\n* Legal CoT (Chain of Thought) prompting\r\n* QnA (simple or retrieval augmented)\r\n* Summarization\r\n* ...\r\n\r\n## Roadmap\r\n\r\nThis will have to be discussed at the hackathon. \r\n\r\n- [x] Simple platform to collect data (already in progess).\r\n- [ ] Datacollection (including possibilities of automatically creating instructions from existing data). \r\n- [ ] Define a (very) simple benchmark to see what outputs would be considered as _good_ or _bad_.\r\n- [ ] Select suitable LLM to finetune ([Camel 5B](https://huggingface.co/Writer/camel-5b-hf), [Dolly 2.0](https://huggingface.co/databricks/dolly-v2-7b), [Open Assistant (Pythia base)](https://huggingface.co/OpenAssistant), [T0pp](https://huggingface.co/bigscience/T0pp) or [FLAN-ul2](https://huggingface.co/google/flan-ul2)) \r\n- [ ] Finetuning an LLM ([LoRA finetuning](https://replicate.com/blog/fine-tune-alpaca-with-lora), as this could probably be achieved in the limitted time of the hackathon and wouldn't need expensive hardware).\r\n- [ ] Review of the model.\r\n\r\n# Available Data\r\n\r\n## General (multilingual) Instruction Datasets:\r\n[Dataset for Dolly 2.0 from Databricks by Argila on Huggingface](https://huggingface.co/datasets/argilla/databricks-dolly-15k-multilingual)\r\n\r\n[OpenAssistant Conversations Dataset (OASST1) by Open Assistant on Huggingface](https://huggingface.co/datasets/OpenAssistant/oasst1)\r\n\r\n---\r\n\r\n# Citations\r\n[^1]: Ouyang, Long, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, et al. *\u2018Training Language Models to Follow Instructions with Human Feedback\u2019*. ArXiv [Cs.CL], 2022. arXiv. [http://arxiv.org/abs/2203.02155](http://arxiv.org/abs/2203.02155). And [OpenAI Blog (last visitted on Mon. 17th of April 2023)](https://openai.com/research/instruction-following)\r\n\r\n[^2]: Wang, Yizhong, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi, and Hannaneh Hajishirzi. \u2018Self-Instruct: Aligning Language Model with Self Generated Instructions\u2019. ArXiv [Cs.CL], 2022. arXiv. [http://arxiv.org/abs/2212.10560](http://arxiv.org/abs/2212.10560).\r\n","autotext_url":"https://github.com/colin-r-carter/legal-instruct/","category_id":"","category_name":"","contact_url":"https://github.com/colin-r-carter/legal-instruct/issues","created_at":"2023-04-14T16:28","download_url":"https://github.com/colin-r-carter/legal-instruct/releases","event_name":"Open Legal Lab 2023","event_url":"https://hack.opendata.ch/event/63","excerpt":"Im Rahmen dieser Challenge wird die Schaffung eines offen zug\u00e4nglichen Legal-Instruct-Datensatzes vorgeschlagen, um grosse Sprachmodelle f\u00fcr den juristischen Bereich zu finetunen. Dieser Datensatz w\u00fcrde juristische Anweisungen in einem strukturierten und organisierten Format enthalten, das es LLMs erm\u00f6glicht, juristische Sprache und Aufgaben besser zu verstehen. Wir glauben, dass dieser Datensatz die F\u00e4higkeit der Rechtsbranche, die F\u00e4higkeiten von LLM zu nutzen, erheblich verbessern k\u00f6nnte, was...","hashtag":"8","id":989,"ident":null,"image_url":"https://www.colincarter.me/img/dalle.png","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"balance-scale","longtext":"Im Rahmen dieser Challenge wird die Schaffung eines offen zug\u00e4nglichen Legal-Instruct-Datensatzes vorgeschlagen, um grosse Sprachmodelle f\u00fcr den juristischen Bereich zu finetunen. Dieser Datensatz w\u00fcrde juristische Anweisungen in einem strukturierten und organisierten Format enthalten, das es LLMs erm\u00f6glicht, juristische Sprache und Aufgaben besser zu verstehen. Wir glauben, dass dieser Datensatz die F\u00e4higkeit der Rechtsbranche, die F\u00e4higkeiten von LLM zu nutzen, erheblich verbessern k\u00f6nnte, was letztlich zu besseren rechtlichen Ergebnissen f\u00fcr alle f\u00fchren w\u00fcrde.\r\n\r\n---\r\n\r\n## Lets unlock the potential of large language models in the legal industry: We propose creating an openly available Legal-Instruct Dataset.\r\n\r\nThis challenge proposes the creation of an openly available Legal-Instruct dataset to finetune large language models for the legal field. This dataset would contain legal instructions in a structured and organized format, allowing LLMs to better understand legal language and tasks. By doing so, we believe that this dataset could significantly improve the legal industry's ability to leverage LLM's capabilities, ultimately resulting in better legal outcomes for all.","maintainer":"colin_carter","name":"Legal Instruct","phase":"Training","progress":20,"score":59,"source_url":"https://github.com/colin-r-carter/legal-instruct","stats":{"commits":0,"during":0,"people":0,"sizepitch":1192,"sizetotal":5792,"total":0,"updates":0},"summary":"A dataset to finetune large language models","team":"colin_carter","team_count":0,"updated_at":"2023-05-01T22:35","url":"https://hack.opendata.ch/project/989","webpage_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openlegallab/98/YF9W9MQ3ROSC1E78SKYG9KRV/OpenLegalLab23_Challenges812.pdf"},{"autotext":"","autotext_url":"","category_id":"","category_name":"","contact_url":"https://github.com/ilyaskurikhin/OpenLegal/issues","created_at":"2023-04-13T17:48","download_url":"https://github.com/ilyaskurikhin/OpenLegal/blob/main/LegalHackathon.ipynb","event_name":"Open Legal Lab 2023","event_url":"https://hack.opendata.ch/event/63","excerpt":"Demo link\r\n\r\nSource: https://github.com/ilyaskurikhin/OpenLegal\r\n\r\n# Challenge\r\n\r\nUm schnell zu erkennen, was in einem Urteil neu ist, sollen immer wieder verwendete Textbausteine eingef\u00e4rbt werden.\r\n\r\nIn jedem Urteil finden sich Textbausteine, die zuvor schon in zahlreichen anderen Urteilen zu lesen waren. Diese Challenge soll ein Tool hervorbringen, das zeigt, welche Textelement...","hashtag":"13","id":990,"ident":null,"image_url":"","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","longtext":"Demo link\r\n\r\nSource: https://github.com/ilyaskurikhin/OpenLegal\r\n\r\n# Challenge\r\n\r\nUm schnell zu erkennen, was in einem Urteil neu ist, sollen immer wieder verwendete Textbausteine eingef\u00e4rbt werden.\r\n\r\nIn jedem Urteil finden sich Textbausteine, die zuvor schon in zahlreichen anderen Urteilen zu lesen waren. Diese Challenge soll ein Tool hervorbringen, das zeigt, welche Textelemente in einem Urteil tats\u00e4chlich neu sind und welche schon in vielen anderen Urteilen enthalten waren. Dies kann durch Einf\u00e4rbung oder Ausblenden oder Einklapp- bzw. Ausklapp-Funktion erm\u00f6glicht werden.\r\n\r\nAn der Challenge wurde letztes Jahr bereits gearbeitet. Im letzten Jahr gab es jedoch sehr grossen Fortschritt im Natural Language Processing (NLP) Bereich. Aus diesem Grund soll diese Challenge dieses Jahr noch einmal angegangen werden.\r\n\r\n- \ud83d\udcce [Challenge slides](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openlegallab/92/FDHFDF0YTIT2HIAXX3DAPIO9/OLL_Challenge13.pdf)\r\n- Fortsetzung von [Textbausteine Challenge](https://challenges.openlegallab.ch/project/41) an der Open Legal Lab 2022.\r\n","maintainer":"","name":"Textbausteine 2.0","phase":"Training","progress":20,"score":44,"source_url":"https://github.com/ilyaskurikhin/OpenLegal","stats":{"commits":0,"during":0,"people":0,"sizepitch":1220,"sizetotal":1267,"total":0,"updates":0},"summary":"Automatisch Textbausteine in Urteilen markieren ","team":"","team_count":0,"updated_at":"2023-05-01T22:45","url":"https://hack.opendata.ch/project/990","webpage_url":"https://docs.google.com/presentation/d/e/2PACX-1vRwIKKw0Mqhz-HEtZTthj6aORMd0aKoEFiYrUcE9cNMlmVMWl9Mozp7sVIYAO3IEJc3Knqzy85GN2wI/embed?start=false&loop=false"},{"autotext":"# scd-viewer\r\n\r\nThe [Swiss Federal Supreme Court Dataset (SCD)](https://zenodo.org/record/7793044) is the largest open-access dataset on Swiss judgments, with 30 variables documenting all 113'367 Federal Supreme Court judgments since 2007.\r\n\r\nWith this challenge, we want to enable anyone to make their own quantitative analysis of this rich data, even if they have zero prior programming knowledge: We will build a [Shiny app](https://shiny.rstudio.com/) that lets users interact with the data on Swiss Federal Supreme Court judgments and run simple analyses themselves.\r\n\r\n## \ud83d\udca1 Idea behind the challenge\r\n\r\nThe freshly released Swiss Federal Supreme Court Dataset includes all Swiss Federal Supreme Court judgments since 2007. It documents them with 30 variables, which contain case information, the area of law, information about the appealed judgment, the parties, the case outcome, or about citations and publication status.\r\n\r\nThe SCD enables high-quality quantitative insights into the jurisprudence of the highest Swiss court (see, for example, [Merane 2021](https://www.sjz.ch/de/artikel/2504-0650-2021-0169/computergestutzte-ermittlung-der-geschlechterverteilung-im) or [Geering 2021](https://doi.org/10.38023/3cebc384-e303-4e19-b5bb-a8497f448ad1)). However, using and analysing the dataset generally requires some knowledge of data science methods. The lack of quantitative methods in the current curricula of most Swiss law schools means that many lawyers, judges and jurists, as well as interested laypersons, currently can't use this data themselves.\r\n\r\nShiny apps such as the gorgeous [CRAN Explorer](https://shiny.rstudio.com/gallery/cran-explorer.html), the highly functional [ExPanD](https://shiny.rstudio.com/gallery/explore-panel-data.html) data explorer, or the highly intuitive [Bolivia Life of Labor](https://rosemarysu.shinyapps.io/bolivia_unpaid_labor/) app inspire us. At the [Open Legal Lab 2023](https://opendata.ch/de/events/open-legal-lab-2023/), we want to create a Shiny app that enables anyone to create their own simple analysis of the Federal Supreme Court dataset, without needing programming knowledge or Excel tricks.\r\n\r\n## \ud83c\udfaf Goal of the challenge\r\n\r\n> *Create and release a Shiny app that enables simple quantitative analyses of the Federal Supreme Court jurisprudence documented in the SCD without any programming knowledge.*\r\n\r\n## \ud83d\ude80 Roadmap\r\n\r\nThis will have to be discussed at the hackathon.\r\n\r\n- [x] Collect data\r\n- [ ] Define main analysis types as use cases\r\n- [ ] Create Shiny app\r\n- [ ] Prepare presentation\r\n- [ ] Deploy Shiny app\r\n- [ ] \u2728 Extra: Automatically integrate most recent judgments through SCD updates\r\n- [ ] \u2728 Extra: Translate user interface to German, French, Italian, Rumantsch\r\n","autotext_url":"https://gitlab.uzh.ch/florian.geering/scd-viewer","category_id":"","category_name":"","contact_url":"","created_at":"2023-04-21T22:48","download_url":"","event_name":"Open Legal Lab 2023","event_url":"https://hack.opendata.ch/event/63","excerpt":"You can find the shiny app here: [https://data-viewer-app.shinyapps.io/scd-viewer/](https://data-viewer-app.shinyapps.io/scd-viewer/)\r\n\r\n\ud83d\udcce [SDC.pdf](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openlegallab/92/G1UEX1S17CPX2U000HQ522L7/SDC.pdf)","hashtag":"4","id":991,"ident":null,"image_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openlegallab/101/X6ILQWV3FZ10G840FSN3SX1G/bgerinside2_copy.jpg","is_challenge":false,"is_webembed":true,"logo_color":"#8ec4e6","logo_icon":"","longtext":"You can find the shiny app here: [https://data-viewer-app.shinyapps.io/scd-viewer/](https://data-viewer-app.shinyapps.io/scd-viewer/)\r\n\r\n\ud83d\udcce [SDC.pdf](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openlegallab/92/G1UEX1S17CPX2U000HQ522L7/SDC.pdf)","maintainer":"","name":"Federal Supreme Court Data Viewer","phase":"Project","progress":5,"score":44,"source_url":"https://gitlab.uzh.ch/florian.geering/scd-viewer","stats":{"commits":0,"during":0,"people":0,"sizepitch":270,"sizetotal":3119,"total":0,"updates":0},"summary":"Let's build a Shiny app for anyone to analyse data on Swiss Federal Supreme Court judgments! \ud83d\udcca ","team":"","team_count":0,"updated_at":"2023-05-01T15:23","url":"https://hack.opendata.ch/project/991","webpage_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openlegallab/92/G1UEX1S17CPX2U000HQ522L7/SDC.pdf"},{"autotext":"# FEDLEXplorer\r\n\r\nThe purpose of this project is to demonstrate how Swiss federal legislation data can be used in third-party products through a SPARQL endpoint.\r\n\r\nWe are developing the frontend and backend in the respective subfolders.\r\nIn the `data` folder you can find a SPARQL query and some sample outputs.\r\n\r\nFor more information see https://challenges.openlegallab.ch/project/81\r\n","autotext_url":"https://github.com/ribeaud/fedlexplorer","category_id":"","category_name":"","contact_url":"https://openlegallab.slack.com/archives/C055LEE3TA7","created_at":"2023-04-20T12:24","download_url":"https://github.com/ribeaud/fedlexplorer/releases","event_name":"Open Legal Lab 2023","event_url":"https://hack.opendata.ch/event/63","excerpt":"We have combined forces with [Living Topics #11](https://challenges.openlegallab.ch/project/71) to develop an app that combines data from multiple APIs and SPARQL queries. It is a Proof of Concept for a brand new FEDLEX experience! \r\n\r\nDetails of the implementation:\r\n\r\n- [API Docs](https://github.com/ribeaud/fedlexplorer/tree/main#api-doc)\r\n- [Frontend Readme](https://github.com/ribeaud/fedlexplorer/tree/main/frontend)\r\n- [Backend Readme](https://github.com/ribeaud/fedlexplorer/tree/main/backen...","hashtag":"14","id":986,"ident":null,"image_url":"https://raw.githubusercontent.com/ribeaud/fedlexplorer/main/logo.png","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","longtext":"We have combined forces with [Living Topics #11](https://challenges.openlegallab.ch/project/71) to develop an app that combines data from multiple APIs and SPARQL queries. It is a Proof of Concept for a brand new FEDLEX experience! \r\n\r\nDetails of the implementation:\r\n\r\n- [API Docs](https://github.com/ribeaud/fedlexplorer/tree/main#api-doc)\r\n- [Frontend Readme](https://github.com/ribeaud/fedlexplorer/tree/main/frontend)\r\n- [Backend Readme](https://github.com/ribeaud/fedlexplorer/tree/main/backend)\r\n- **[Demo Android app](https://github.com/ribeaud/fedlexplorer/releases/tag/0.0.2)**\r\n\r\n### Screenshots\r\n\r\n  \r\n\r\n# CHALLENGE\r\n\r\nZiel dieser Challenge ist es zu demonstrieren, wie die Daten des Bundesrechts \u00fcber den SPARQL-Endpunkt der Bundesrechtsplattform in Produkten Dritter verwendet werden k\u00f6nnen. Die BK ver\u00f6ffentlicht auf [Fedlex ](https://www.fedlex.admin.ch/de/cc/in-force)die Liste der Rechtstexte, die an einem bestimmten Monat/Datum in Kraft treten. \u00dcber diese Website k\u00f6nnen die Nutzer sich informieren, wann was in Kraft tritt. Dies ist jedoch nicht ganz optimal, da sie die Fedlex-Website regelm\u00e4\u00dfig konsultieren m\u00fcssen und keinen Filter setzen k\u00f6nnen. Die Liste der in Kraft tretenden Rechtstexte kann stattdessen \u00fcber den SPARQL-Endpunkt der Bundesrechtsplattform abgerufen werden.\r\n","maintainer":"","name":"FEDLEXplorer","phase":"Training","progress":20,"score":37,"source_url":"https://github.com/ribeaud/fedlexplorer","stats":{"commits":0,"during":0,"people":0,"sizepitch":1677,"sizetotal":2205,"total":0,"updates":0},"summary":"The purpose of this challenge is to demonstrate how federal legislation data can be used in third-party products through the SPARQL endpoint","team":"","team_count":0,"updated_at":"2023-05-05T11:13","url":"https://hack.opendata.ch/project/986","webpage_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openlegallab/104/CVIDIFSFN8JEPMTUKAAY8NBW/Pr\u00e4sentationOLL2023_Ergebnis.pdf"},{"autotext":"# eidschemas\r\n\r\nHIer werden gesammelt:\r\n\r\n- Typendefinitionen f\u00fcr g\u00e4ngige Attribute\r\n- Kollektionen f\u00fcr g\u00e4ngige Attributkombinationen\r\n- Schemas f\u00fcr Verified Credentials\r\n","autotext_url":"https://github.com/KampfCaspar/eidschemas","category_id":"","category_name":"","contact_url":"https://github.com/KampfCaspar/eidschemas/issues","created_at":"2023-04-12T13:57","download_url":"https://github.com/KampfCaspar/eidschemas/blob/main/schemas/001-residence_certificate.schema.md","event_name":"Open Legal Lab 2023","event_url":"https://hack.opendata.ch/event/63","excerpt":"Links \r\n\r\n- https://www.bj.admin.ch/bj/de/home/staat/gesetzgebung/staatliche-e-id.html\r\n- https://github.com/e-id-admin/general/blob/main/meetings/20230420_Einf%C3%BChrung_zur_E-ID.pdf\r\n- https://sovrin.org/wp-content/uploads/Guardianship-Whitepaper.pdf\r\n- Figma-Datei eines Wallet werden zur Verf\u00fcgung gestellt","hashtag":"16","id":992,"ident":null,"image_url":"","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","longtext":"Links \r\n\r\n- https://www.bj.admin.ch/bj/de/home/staat/gesetzgebung/staatliche-e-id.html\r\n- https://github.com/e-id-admin/general/blob/main/meetings/20230420_Einf%C3%BChrung_zur_E-ID.pdf\r\n- https://sovrin.org/wp-content/uploads/Guardianship-Whitepaper.pdf\r\n- Figma-Datei eines Wallet werden zur Verf\u00fcgung gestellt","maintainer":"dominic_moser","name":"Vollmacht und Delegation im Kontext des E-ID \u00d6kosystem","phase":"Research","progress":10,"score":34,"source_url":"https://github.com/KampfCaspar/eidschemas","stats":{"commits":0,"during":0,"people":0,"sizepitch":311,"sizetotal":482,"total":0,"updates":0},"summary":"","team":"dominic_moser","team_count":0,"updated_at":"2023-05-02T10:25","url":"https://hack.opendata.ch/project/992","webpage_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/openlegallab/100/JSWOZZMRRJNQXWX215XH6XH6/Open_Legal_Challenge_16_Vollmach_EID_Resulat2_compressed.pdf"},{"autotext":"","autotext_url":"https://www.linkedin.com/pulse/holistic-approach-legal-commitment-unmarried-couples-calc%C3%B2-labbruzzo","category_id":"","category_name":"","contact_url":"https://www.linkedin.com/in/dominique-calc\u00f2-labbruzzo-15597629/?locale=en_US","created_at":"2023-04-15T10:02","download_url":"","event_name":"Open Legal Lab 2023","event_url":"https://hack.opendata.ch/event/63","excerpt":"## Developing an app for couples to have a legal commitment which entitles to compensation for mental and emotional pain\r\n\r\n- The language of love can be expressed in many different ways, every partner must say to which percentages words of affirmation, acts of service, physical touch, quality time, gift-giving are relevant\r\n- The app should check what kind of relationship the two partners wish: for example monogamous or polyamorous relationship. If the both agree on it or they wish also casual ...","hashtag":"19","id":993,"ident":null,"image_url":"","is_challenge":false,"is_webembed":false,"logo_color":"","logo_icon":"","longtext":"## Developing an app for couples to have a legal commitment which entitles to compensation for mental and emotional pain\r\n\r\n- The language of love can be expressed in many different ways, every partner must say to which percentages words of affirmation, acts of service, physical touch, quality time, gift-giving are relevant\r\n- The app should check what kind of relationship the two partners wish: for example monogamous or polyamorous relationship. If the both agree on it or they wish also casual sex relationships or on something else.\r\n- The partners agree that lying and betraying entitles the other person to compensation for healing costs and emotional damages\r\n","maintainer":"","name":"Futuristic Contract For Love Relationships","phase":"Project","progress":5,"score":30,"source_url":"","stats":{"commits":0,"during":0,"people":0,"sizepitch":668,"sizetotal":703,"total":0,"updates":0},"summary":"Wellbeing and Mental Health Matters ","team":"","team_count":0,"updated_at":"2023-05-01T22:28","url":"https://hack.opendata.ch/project/993","webpage_url":""},{"autotext":"","autotext_url":"","category_id":"","category_name":"","contact_url":"mailto:yves.koenig@post.ch","created_at":"2023-04-12T09:40","download_url":"","event_name":"Open Legal Lab 2023","event_url":"https://hack.opendata.ch/event/63","excerpt":"Ausgangslage