APPLYING COGNITIVE COMPUTING TO LEGAL SERVICES

With the development of Artificial Intelligence (AI) and the growing demand for chatbots that connect to other networks, the popularity of Cognitive Computing (CC) is growing. This paper looks at the development of a cognitive AI chatbot for legal services and explains the requirements and tasks involved in setting up a cognitive AI chatbot. It looks at current legal chatbots and their uses in legal services, considering how cognitive bots can be used to make appointments and handle frequently asked questions. How cognitive bots can be linked to a corpus of information and Application Programming Interfaces is outlined.

Content

Author and article information

Contributors

Deborah Whittle

Lynne Hall

Conference

Publication date: July 2022

Publication date (Print): July 2022

Pages: 1-6

Affiliations

[0001]Faculty of Technology

University of Sunderland, Sunderland

Article

DOI: 10.14236/ewic/HCI2022.35

SO-VID: d1d78b14-b605-44f9-ac1a-9653a805e2af

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: 35th International BCS Human-Computer Interaction Conference

Conference acronym: HCI2022

Conference number: 35

Conference location: Keele, Staffordshire

Conference date: July 11th to 13th, 2022

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Towards a Human-Centred Digital Society

History

Product

1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2022.35

Self URI (journal page): https://ewic.bcs.org/

REFERENCES

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Alhadreti, O., 2021. Comparing Two Methods of Usability Testing in Saudi Arabia: Concurrent Think-Aloud vs Co-Discovery. International Journal of Human-Computer Interaction 37, 118–130. https://doi.org/10.1080/10447318.2020.1809152
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Nadarzynski, T., Puentes, V., Pawlak, I., Mendes, T., Montgomery, I., Bayley, J., Ridge, D., 2021. Barriers and facilitators to engagement with artificial intelligence (AI)-based chatbots for sexual and reproductive health advice: a qualitative analysis. Sex. Health 18, 385. https://doi.org/10.1071/SH21123
Nayak, H.M., E, N., Shankar, S.P., J, A.B., 2020. Cognitive Computing in Software evaluation, in 2020 International Conference on Decision Aid Sciences and Application (DASA). Presented at the 2020 International Conference on Decision Aid Sciences and Application (DASA), IEEE, Sakheer, Bahrain, pp. 509–514. https://doi.org/10.1109/DASA51403.2020.9317134
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Schuetz, S., Venkatesh, V., 2020. Research Perspectives: The Rise of Human Machines: How Cognitive Computing Systems Challenge Assumptions of User-System Interaction. JAIS 21, 460–482. https://doi.org/10.17705/1jais.00608
Schuetzler, R.M., Grimes, G.M., Giboney, J.S., Rosser, H.K., 2021. Deciding Whether and How to Deploy Chatbots. MSQE 1–15. https://doi.org/10.17705/2msqe.00039

Comments

Comment on this article

[1] Abrar, S.S., Arumugam, R.K., 2013. Simulation Model of IBM-Watson Intelligent System for Early Software Development, in 2013 UKSim 15th International Conference on Computer Modelling and Simulation. Presented at the 2013 UKSim 15th International Conference on Computer Modelling and Simulation (UKSim, 2013), IEEE, Cambridge, pp. 325–329. https://doi.org/10.1109/UKSim.2013.132

[2] Alhadreti, O., 2021. Comparing Two Methods of Usability Testing in Saudi Arabia: Concurrent Think-Aloud vs Co-Discovery. International Journal of Human-Computer Interaction 37, 118–130. https://doi.org/10.1080/10447318.2020.1809152

[3] Butterfield, A., Ngondi, G.E. (Eds.), 2016. Oxford dictionary of computer science, Seventh edition. ed, Oxford quick reference. Oxford University Press, Oxford, United Kingdom ; New York, NY, United States of America.

[4] High, R., Bakshi, T., 2019. Cognitive Computing with IBM Watson: Build Smart Applications Using Artificial Intelligence As a Service. Packt Publishing, Limited, Birmingham, UNITED KINGDOM.

[5] IBM, 2017. POV-Watson Privacy, Compliance and security. IBM Data Responsibility Perspective for Watson Data and AI. URL https://www.ibm.com/watson/assets/duo/pdf/Watson-Privacy-and-Security-POV_final_062819_tps.pdf (accessed 6.23.22).

[6] Lesley King, 2020. PRIVATE CLIENT: wills, trusts and estate planning 2020. COLLEGE OF LAW Publishing, Place of publication not identified.

[7] Lytras, M.D., Visvizi, A., 2021. Artificial Intelligence and Cognitive Computing: Methods, Technologies, Systems, Applications and Policy Making. Sustainability 13, 3598. https://doi.org/10.3390/su13073598

[8] Nadarzynski, T., Puentes, V., Pawlak, I., Mendes, T., Montgomery, I., Bayley, J., Ridge, D., 2021. Barriers and facilitators to engagement with artificial intelligence (AI)-based chatbots for sexual and reproductive health advice: a qualitative analysis. Sex. Health 18, 385. https://doi.org/10.1071/SH21123

[9] Nayak, H.M., E, N., Shankar, S.P., J, A.B., 2020. Cognitive Computing in Software evaluation, in 2020 International Conference on Decision Aid Sciences and Application (DASA). Presented at the 2020 International Conference on Decision Aid Sciences and Application (DASA), IEEE, Sakheer, Bahrain, pp. 509–514. https://doi.org/10.1109/DASA51403.2020.9317134

[10] Olson Parmy, 2016. This Teen’s Lawyer-Bot is Busting Thousands Of Parking Tickets. Forbes.com 6/28/2016 P1-1.1p 1, 1.

[11] Sandhya, P., Mujumdar, A.M., Biswas, A., 2021. Cognitive Computing and Its Applications, in Musiolik, T.H., Cheok, A.D. (Eds.), Advances in Computational Intelligence and Robotics. IGI Global, pp. 47–68. https://doi.org/10.4018/978-1-7998-3499-1.ch004

[12] Schuetz, S., Venkatesh, V., 2020. Research Perspectives: The Rise of Human Machines: How Cognitive Computing Systems Challenge Assumptions of User-System Interaction. JAIS 21, 460–482. https://doi.org/10.17705/1jais.00608

[13] Schuetzler, R.M., Grimes, G.M., Giboney, J.S., Rosser, H.K., 2021. Deciding Whether and How to Deploy Chatbots. MSQE 1–15. https://doi.org/10.17705/2msqe.00039

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