Law and Economics


Machine Learning X Doing Law and Economics

Supporting law firms with the law and economics, privacy and security of the future

Law, privacy and security must go hand in hand for organizations and society to truly benefit from technological innovations

More data is being generated faster than ever, and the status quo in law firms cannot keep up in many cases. We need innovations that complement and augment legal professionals, not replace them

It is time for an approach that builds on what we already have as a society and takes law and economics to the next level

This is important whether we are crafting policy to nurture the next generation of startups via venture financing, mergers and acquisitions, general corporate needs, commercial and technology transactions, trademarks and patents, startup and founder disputes, business tax, business immigration or supporting policy makers to foster competition in the industry.

The future of privacy and security

We also need to support privacy is an approach exclusively in service of the legal profession and its ongoing progress in policy and reform

This is a necessary first step, but there can ultimately be no privacy without security

To improve on information security, we need an approach that can match handling masses of data beyond human scale with a sophisticated understanding of what it means to be human. This will also help inform law firms’ progress

Consumers or legal authorities may request that data be deleted, but how can retraining from scratch be minimized? Cutting-edge work focuses on machine unlearning, where algorithms “forget” under certain conditions and differential privacy.

That potential is here now. Next-level AI


It is up to us all to make the world a better place, starting with the impact of your law firm with next-generation law and economics, privacy and security

Introducing the next-generation of AI, designed around the fundamental question of what it means to be human

Together, we will inspire change in the world, by first introducing your organization to its true potential



Kweku Opoku-Agyemang, Ph.D.

Kweku Opoku-Agyemang, Ph.D., is former faculty at the University of California, Berkeley in development economics and a former computer science researcher at Cornell University. He has advised Google scientists, given talks at Facebook, presented to government officials from 12 countries and others.

A former session Chair at the Canadian Economic Association, Kweku believes that his next-generation Machine Learning x Doing approach can help organizations and countries to do better by their people by meeting or exceeding their potential. He is based in Toronto, Canada.