Wachtell vs. Watson: The future of professional services (Mini case)
The case looks first at Wachtell, Lipton, Rosen & Katz, a renowned M&A law firm in the US that changed the business model of corporate law firms with a very specific offering and a specific way of being remunerated. It became so successful that it was the top firm for compensation for several years. The case then looks a IBM and its Watson AI, which famously won the TV quiz Jeopardy! in 2011. IBM built various applications around Watson such as in automotive, customer services, healthcare etc. However, it was criticized for being a black box that other developers could not built upon. The most recent business Watson has entered has been law to disrupt low-value/high-volume work. The case ends asking how far Watson can go in disrupting professional work and what should Wacthell be thinking about Watson?
- This case is part of a mini-case series “Reshaping Industries – Embracing the New Normal Mini Case Series“.
- Learning objectives focus on business models and how these can threaten or become threatened quickly with the rise in technology. In this case, Wachtell changed the payment model within M&A law and is focused on certain work only.
- We contrast that with IBM Watson which, as an AI, is being applied to more and more industries to remove some lower-level work from humans. The learning objective is to think about threats to business models from digital and whether AI will take more value-adding work from humans.
Wachtell, Lipton, Rosen & Katz
1965 to 2020
Cranfield University
Wharley End Beds MK43 0JR, UK
Tel +44 (0)1234 750903
Email [email protected]
Harvard Business School Publishing
60 Harvard Way, Boston MA 02163, USA
Tel (800) 545-7685 Tel (617)-783-7600
Fax (617) 783-7666
Email [email protected]
NUCB Business School
1-3-1 Nishiki Naka
Nagoya Aichi, Japan 460-0003
Tel +81 52 20 38 111
Email [email protected]
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in Journal of Computer Information Systems August 2025, vol. 65, no. 4, pp. 489-517, https://doi.org/10.1080/08874417.2025.2483832
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in HBR.org 25 July 2025
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