News & Views

Every litigation strategy is a sequence of decisions made under uncertainty, even when the reasoning behind it appears intuitive. This article explores how decision trees, probability and game theory can make legal strategy more visible, structured and capable of adapting as a case develops. Formalisation does not replace the lawyer’s judgment; it provides a stronger framework through which that judgment can be tested and applied.

Two experienced lawyers can apply the same law to the same facts and still recommend different strategies. This article explores how interpretation, uncertainty, risk appetite, commercial objectives, and professional judgment shape legal advice, and why disagreement between experts can improve rather than undermine a decision.

Is legal experience just data? Or is there something wrong that today's AI craze is missing?

Will AI be able to conquer the main essence of being a lawyer? 

Generating an argument is not the same as exercising legal judgment.

In today’s rapidly evolving legal landscape, traditional litigation strategies often rely on past experience, intuition, and broad legal principles. While these factors remain critical, they are no longer sufficient on their own. The modern legal professional requires data-driven insights to make informed, strategic decisions with greater accuracy and confidence.

Artificial Intelligence and Legal Technology with an emphasis on Decision Tree Analysis.

Why using AI tools in legal tech is not as straightforward as it sounds and why the key for the future is collaboration.

We have simplified the way the litigation decision trees are creating with the use of a step-by-step 'wizard'.

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