In litigation, stakes are high – and decision-making fraught with uncertainty

Advice and tactics are informed by litigators’ expertise and experience. But what if relevant data can add insight?

Solomonic is based on a simple premise. The right data, rigorously analysed, enhances the quality of decision-making. Aggregated over the lifetime of a case, that produces a powerful incremental advantage, allowing litigators to do a better job predicting outcomes – and improving them.

How you can use Solomonic litigation analytics

Ground your case in its context

See the relevant statistics and ranges and analyse where your case falls on the spectrum, helping you to manage your client’s expectations of outcome.

Extract and apply insights

Pick out individual data points which bear upon the particular details of your case, and evaluate their impact on your prospects or tactics.

Pinpoint key examples

Easily locate and utilise examples of similar cases  or see how relevant judges have previously dealt with particular fact-patterns or arguments.

People often stand to gain or lose more by one judge’s nod than they could by any general act of Congress or Parliament.

Ronald Dworkin, Law's Empire (Hart, 1986)

Judging is an art not a science. So the more complex the question, the more likely it is that different judges will come to different conclusions.

Lord Justice Ward, Assicurazioni Generali v Arab Insurance Group (2002) EWCA Civ 1642

Different judges will use different tools in the box in order to reach their conclusions.

Mr Justice Henderson, Secretary of State for Health v Servier Laboratories Ltd (2016) EWHC 2381

Some of the best theorizing comes after collecting data because then you become aware of another reality.

Robert J. Shiller, Economist

In God we trust. All others must bring data.

W. Edwards Deming, Statistician

A good lawyer tries to learn as much as possible about the judge who will decide the case.

Antonin Scalia and Bryan A. Garner, Making Your Case: The Art of Persuading Judges (Thomson/West, 2008)

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