Learning AI Systems for Knowledge$-$Intensive Work. MIS Quarterly.

Assignment questions for discussion and case study presentations $($For all groups$)$:

$($a$)$ For the digital transformation in the case of LegalTechCo $-$ describe how the three pillars of digital transformation $($customer experience, operational processes, and business modef$)$ were being redefined$/$addressed in the article? $($b$)$ Which pillar is the starting point for the digital transformation initiative and which pillar is expected to see the most redefinition? Justify your answer with specific illustrations from the case.

$($a$)$ What are the specific challenges in developing a machine learning based Al system? $($b$)$ Do these challenges differ based on the kinds of tasks that are meant to be executed by

$5$

$H_{\text{P}\text{A}\text{R}\text{I}\text{S}}C$

the machine learning based Al system? $($c$)$ From the case of LegalTechCo, identify the tasks that were relatively difficult to be executed through an ML based Al system. Based on your analysis what are the kinds of tasks that may not be good candidates for such systems and why? Give examples of such tasks within your own organization or elsewhere.

Availability of 'adequate quantity' of 'good quality data' are the prime requirements for implementing an effective machine learning based Al system. How is this data requirement being ensured in the current case of LegalTechCo? Please give an example of a real$-$life case where complying$/$not complying to such data requirements led to the success$/$failure of the initiative. The example can be from your own organization, or you can search for suitable illustration from the Internet.