On the public citation graph
ChatGPT & Generative AI Systems as Quasi-Expert Legal Advice Lawyers - Case Study Considering Potential Appeal Against Conviction of Tom Hayes
0 signed · 8 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-73147-1_9openalex-snapshot
Designing for the Future of Information Access with Generative Information Retrieval
inferred← citeshttps://doi.org/10.1007/978-981-97-2716-2_27openalex-snapshot
Charting the Path of Futuristic Support Tools: Opportunities, Challenges, Recent Advances, and Future Directions in the Era of ChatGPT
inferred← citeshttps://doi.org/10.1007/s11196-025-10273-0openalex-snapshot
AI Adoption in Legal Translation: A Study of Intrinsic Motivation among Saudi Students
inferred← citeshttps://doi.org/10.1109/access.2025.3533217openalex-snapshot
Exploring LLMs Applications in Law: A Literature Review on Current Legal NLP Approaches
inferred← citeshttps://doi.org/10.1109/kse59128.2023.10299488openalex-snapshot
The Impact of Large Language Modeling on Natural Language Processing in Legal Texts: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1145/3764579openalex-snapshot
Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey
inferred← citeshttps://doi.org/10.4018/979-8-3693-0502-7.ch001openalex-snapshot
Introduction to ChatGPT
inferred← citeshttps://doi.org/10.4018/979-8-3693-1239-1.ch003openalex-snapshot
Data Privacy and Security Safeguarding Customer Information in ChatGPT Systems
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.