Please enable JavaScript.
Coggle requires JavaScript to display documents.
Legal application areas of artificial intelligence or big data…
Legal application areas of artificial intelligence or big data technologies
legal advisory or decision support systems
:red_flag:
Explanation of legal decision or justice for losers
:check:
:unlock:
Using machine learning such as support vector machine (SVM) to build Standard case-based or rule-based systems identifying topic-specific terms to use in the explanation
Machine learning, neural networks, inductive logic programming, data mining for association rules, SMILE system
:pen:
sustainable free legal advisory systems that are capable of solving legal issues by justifying their advice and conclusions as well as providing references to primary or secondary legal sources and reasoning based on them
.:check:
automated first-cut rule base’ facility for speeding knowledge-base construction and reducing the knowledge acquisition bottleneck. Automation
:unlock:
Quasi-natural language knowledge representations: opportunities provided by Developments in Natural Language Processing (NLP) and related AI algorithms for exploring legal knowledge and semantic representation models
:unlock:
Automated linking to more sophisticated legal sources – creating more sophisticated and valuable linking from inferencing systems to sources enabling interpretation
:unlock:*
The DataLex software :pen:
Better tools for collaborative development of knowledge-bases :unlock:
CanLII Connect (case annotation)
:pen:
Wex (legal dictionary) :pen:
*Data-driven and data-oriented feedback tools
:unlock:*
WebSockets and other new web technologies enable the creation of web applications that make use of real-time, persistent, and bi-directional messaging to improve user experience by automatically making relevant context information available during expert system consultations
:pen:
AI-based IT systems in judicial application of the law :check:
two models of AI use in constructing court’s substantive decisions :unlock:
an AI-based system (a fully automated system) which would replace a human judge :pen:
an AI-based system ( an advisory model) supporting the human judge, not replacing him :pen:
Patent Analysis methods
:red_flag:
State of the art natural language processing tools and in particular named entity recognition tools to detect valuable concepts in patent documents :check:
linguistic annotation: sentence splitting and tokenization, part of speech tagging and lemmatization :unlock:
the entity extractor based on supervised classifier that is trained on an annotated patent set in order to the patent set :unlock:
Exploting Support Vector Machines and Multi Layer Perception as the learning algorithm :unlock:
insightful conceptual analysis of AI impact on patent law - patentability and inventorship :check:
a new AI analytical framework – [ the Multi-Level Model] :unlock:
semi- autonomous, fully autonomous, and neuro-autonomous with policy recommendations :pen:
ePrivacy regulation
:red_flag:
*the proposals for a new specific and hopefully more effective data protection provisions in the ePrivacy regulation and General Data Protection Regulation
* :check:
ethical or legal considerations
:red_flag:
The extent of the operation of international human rights law as a legal or ethical obstacle on using commercially big data technologies around the globe
:check:
Captivating the guiding principles on business and human rights produced by the UN as a coherent framework to analyze the obligations of the private sector to respect human rights in terms of deploying big data services and using the obtained information
:unlock:
the guiding principles can be utilized to transform corporate culture and corporate decision making as a self–imposed normative and ethical framework around the use of big data technologies
:unlock:
the framework of vulnerability for understanding and consolidating critical issues of AI legal and human rights issues such as algorithmic transparency and legal personhood issues by Rowena Rodrigues:check:
Considerations on the regulation of code and the role of producer and consumer liability in smart devices by Iain Nash (2021) :check:
visual legal analytics
:red_flag:
a visual approach of analyzing law conflicts of e-services such as e-mobility and transpotation domain by Dirk Burkhardta & Kawa Nazemia (2018) :check:
technologically enhanced legal services
:red_flag:
Education approach for the provision of technologically enhanced legal services to lawyers by Václav Janecek, Rebecca Williams and Ewart Keep (2021) :check: