Can Law Be Automated?

Law can take way more efficient forms

We take the complexity of the today’s law for granted. But what if we look at the law as a technology. Are we happy with it?

We shouldn’t be. It’s inefficient in every way.

First, the same rules can be understood in different ways. We, lawyers, are all proud of being able to operate and make money in that ambiguity. But ambiguity is not a feature, it’s a bug. It burns resources to simply understand what the law says.

Secondly, the law is an enormous information system and humans are not ideal agents to process it. Neither they are perfect for performing under contracts or laws when the behaviour becomes complex, especially with multiple interdependencies. Human ability to interact with a dynamic system of norms is extremely limited.

Third, rules are unpredictable. That creates extra costs to play it safe, deals are broken because the parties are unable to describe uncertainty in every detail. There are other problems, too, like insecurity of a weaker party and so on.

Today’s law resembles the 1960’s booking offices with mile-long lines to buy airplane tickets, where it would take ages to manually plan the route, going through directories and trying to calculate the total. Law is the same, it’s less and less compatible with the modern world.

This is how law works now.

Instead, law should be more like online tickets booking services, where thousands or parameters are calculated, and you get a nicely arranged list of options in seconds. But law could become even more than that: a layer of augmented reality to businesses and people; or a Country OS altogether.

For a year, my team of lawyers, developers and mathematicians worked on a research ordered by one of the scientific institutions — how to automate law.
It turned out that just using AI or just coding law would never be enough. The law is too complex to settle with the Law is Code approach. And relying on AI interpreting natural language and making decisions based on that seems a bit too optimistic.

So, we came up with a framework of technology and methods to move to automated law. And here are the key elements of this framework:

(1) domain-specific Legal Programming Language — for describing rules in a formalized way, so that a machine would understand that;

(2) Ontologies / Knowledge Graphs — for keeping concepts used in automated law structured;

(3) data for automated law — to sync the automated law system with the reality;

(4) machine learning — for structuring the unstructured;

(5) a new legal drafting technique — with legal design, nudge and evidence based regulation — to make natural language more compatible with automation;

(6) role of a human interacting with an automated law system.

See more about each element of the framework in Part Two.




Law Automation, Legal Tech and Legal Design

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

Machine Learning Automation & AI Model for the Farm Industry

Data Exammple

Revenge Porn: Deepfakes In Artificial Intelligence

Artificial Intelligence in smartphones – Changing the Way Consumers Use Phones

Can AI predict new pandemics spread, and restrict our social behaviour?

GodNet: A Neural Network Which Can Predict Your Future?

Unique about Articbot

Time to Build the next Layer of the Matrix

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Anton Vashkevich

Anton Vashkevich

Law Automation, Legal Tech and Legal Design

More from Medium

It’s time to Consult the Oracle

How to build a decentralized website on the ETH-Blockchain!

Use Clojure macro to generate a random ID unique to each build

Da Ye Jin Hong “Garden of the Moon”, organic red tea of ​​the 2021 harvest, from the “Tea Magic”…