Artificial Intelligence In Legal Services: State-of-Art And Users’ Expectations In Russia

30 Pages Posted: 15 Nov 2019

See all articles by Alevtina Repina

Alevtina Repina

National Research University Higher School of Economics (Moscow)

Date Written: November 14, 2019

Abstract

Artificial intelligence is having a transformative effect on the business world. Among others, legal services industry is susceptible to these transformations, but being a part of the legal system, it adopts novelties more slowly than other service-based industries.

The issue of AI acceptance for legal services is widely discussed in Russia. The opportunities and threats of AI implementation are the subjects of academic research, business enquires, experts' assessments, and professional community discussions. Still, all those pieces of evidence are biased by the objectives of specific research and methodology used, mostly have no or little empirical data to ground conclusions on. The absence of empirical evidence on the state-of-the-art of AI in legal services and users’ expectations on AI implementation hinders further research in various topics – from legal firms’ management and legal innovations to the lawyering process and access to justice.

This paper confirms expert opinions regarding AI technologies and their implementations for legal services, suggesting the cooperation of lawyer and AI in legal service rendering rather than competition. Russian lawyers appear to have the experience of using very advanced AI solutions, including those that are unavailable directly on the Russian market. The expectations of lawyers as users of AI technologies could be described as uncertain, which means that further extension of the AI implementation is still a disputable issue.

Keywords: artificial intelligence, legal services, users, expectations, technology adoption, survey, Russia

JEL Classification: O33, O14, D22

Suggested Citation

Repina, Alevtina, Artificial Intelligence In Legal Services: State-of-Art And Users’ Expectations In Russia (November 14, 2019). Higher School of Economics Research Paper No. WP BRP 104/STI/2019, Available at SSRN: https://ssrn.com/abstract=3486783 or http://dx.doi.org/10.2139/ssrn.3486783

Alevtina Repina (Contact Author)

National Research University Higher School of Economics (Moscow) ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

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