About this Research Topic
The recent developments of AI in the form of Ethical AI, Explainable AI, Generative AI, etc. have opened multiple avenues to advance the complex legal system into a modern technology-driven faster civil justice system. Until lately, the existing civil justice system globally was largely insulated to modern computer technologies, particularly AL, ML, DL, NLP, LLM, etc. And, the field, where these modern computer technologies are being applied into the field of Law is called Legal Informatics. The Legal Informatics is gradually gaining popularity in the interdisciplinary research communities and more specifically, the lawyers, legal experts and professionals, computer and data scientists are coming together to pairing up to deeply and broadly understand the problems in legal domain and develop equally effective tech-driven sustainable and robust solutions.
The goal is to utilize modern soft technologies to massively transform the existing legal system into an improved and advanced civil justice system. Having deep confidence in model and emerging soft technologies, in near to medium term, we envision such a justice system, which is not only intelligent and innovative, but also is expeditious, un-biased, economically accessible and in easy reach even for the ultra-underprivileged communities. In an ideal civil justice system, even the poorest of the poor should have deep faith in it and never hesitate to reach out to technology-driven and resource-rich legal courts for their rights.
This Research Topic invites the extended version of selected suitable top papers from SocPros2023 conference in addition to the original, unpublished scholarly work from other experts along the following topics (although not limited to):
1. Algorithms and applications in legal informatics
2. AI, ML, DL-driven civil justice system
3. NLP into legal text process
4. Ontology and knowledge representation in legal domain
5. Legal data
6. Ethical, Explainable and Generative AI in legal domain
7. Large Language Model (LLM)
8. Legal information retrieval and mining
9. Blockchain technology in legal space
10. Learning deeper and large from legal data
11. Legal data visualization and analytics
12. Smart legal contracts
13. Legal expert systems
14. Legal prediction model
15. Automating dispute resolution
16. Robotism in legal space
17. Robot Lawyers
18. Robot Judges
The goal is to utilize modern soft technologies to massively transform the existing legal system into an improved and advanced civil justice system. Having deep confidence in model and emerging soft technologies, in near to medium term, we envision such a justice system, which is not only intelligent and innovative, but also is expeditious, un-biased, economically accessible and in easy reach even for the ultra-underprivileged communities. In an ideal civil justice system, even the poorest of the poor should have deep faith in it and never hesitate to reach out to technology-driven and resource-rich legal courts for their rights.
This Research Topic invites the extended version of selected suitable top papers from SocPros2023 conference in addition to the original, unpublished scholarly work from other experts along the following topics (although not limited to):
1. Algorithms and applications in legal informatics
2. AI, ML, DL-driven civil justice system
3. NLP into legal text process
4. Ontology and knowledge representation in legal domain
5. Legal data
6. Ethical, Explainable and Generative AI in legal domain
7. Large Language Model (LLM)
8. Legal information retrieval and mining
9. Blockchain technology in legal space
10. Learning deeper and large from legal data
11. Legal data visualization and analytics
12. Smart legal contracts
13. Legal expert systems
14. Legal prediction model
15. Automating dispute resolution
16. Robotism in legal space
17. Robot Lawyers
18. Robot Judges
Keywords: Artificial Intelligence, Legal Informatics, NLP, Machine Learning
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
