Can Litigation Strategy Be Formalised?

Every litigation strategy is a sequence of decisions made under uncertainty. The question is whether that reasoning should remain intuitive or be made visible, testable, and capable of improvement.

Litigation strategy is often treated as an art.

An experienced lawyer studies the evidence, considers the law, anticipates the opponent’s next move and recommends a course of action. The reasoning may be sophisticated, but much of it remains internal. It is expressed through phrases such as “my instinct is”, “the case feels strong” or “commercially, settlement makes sense”.

That intuition matters. It reflects years of accumulated experience, pattern recognition and professional judgment.

But intuition does not mean the reasoning is without structure.

Every litigation strategy contains a sequence of decisions:

Should proceedings be commenced?
Which arguments should be prioritised?
What evidence should be obtained?
How is the opponent likely to respond?
Should an application be made now or later?
When should settlement be explored?
What offer should be accepted?
At what point does the cost of continuing exceed the expected benefit?

Each answer changes what happens next. Each decision creates new possibilities, risks and consequences.

Litigation strategy can therefore be understood not as a single opinion, but as a path through a changing decision environment.

The Decision Tree Behind Every Case

A decision tree provides a simple way of representing that environment.

At each decision point, the legal team chooses between possible actions. Each action may lead to several possible outcomes. Those outcomes create further decisions, costs and risks.

Consider a simplified dispute.

The client may choose to settle, continue negotiations or proceed to trial. If the case continues, the court may decide in the client’s favour or against it. Before trial, new evidence may emerge, an interim application may succeed or fail, and the opponent may revise its settlement position.

A decision tree does not determine which path should be followed. It makes the available paths visible.

It can show:

the decisions that must be made;
the events outside the client’s control;
the possible outcomes of each route;
the estimated cost and duration of each path;
the assumptions supporting the strategy; and
the points at which the strategy should be reconsidered.

This matters because legal advice is often presented as a conclusion without fully exposing the chain of reasoning behind it.

A structured model allows the lawyer and client to ask a better question:

What must we believe for this strategy to be the right one?

Probability Is Not Prediction

Lawyers frequently use probabilistic language.

A case may be described as “strong”, “arguable”, “finely balanced” or “unlikely to succeed”. These expressions communicate uncertainty, but they do not always provide enough precision for commercial decision-making.

Probability offers a more disciplined framework.

If the estimated probability of success is 65 per cent, that figure should not be mistaken for a prediction that the client will win. A single case will still produce a binary result. The client will either win or lose.

The value of probability lies elsewhere. It allows different outcomes to be considered together and compared.

A strategy can be assessed using:

the probability of each outcome;
the financial consequence of winning or losing;
the legal costs associated with each path;
the likelihood of recovering those costs;
the duration of the proceedings;
the effect of delay;
the client’s tolerance for risk; and
the commercial value of certainty.

This makes it possible to compare the expected value of continuing with the value of settlement.

But the calculation is not the decision.

A client may rationally reject the option with the highest expected financial return because it carries unacceptable downside risk, consumes management time, threatens a commercial relationship or creates reputational exposure.

Probability structures judgment. It does not replace it.

Litigation Is Also a Strategic Game

A dispute does not develop in isolation. Every decision is made in the presence of another decision-maker.

The opponent has its own information, incentives, constraints and expectations. It is also trying to anticipate what the other side will do.

This is where game theory becomes relevant.

Game theory examines decisions in situations where the outcome depends partly on the actions of others. In litigation, that includes questions such as:

How is the opponent likely to respond to a settlement offer?
Will an aggressive procedural step increase pressure or harden its position?
Does the opponent believe the client is willing to proceed to trial?
What information is each side revealing through its actions?
Does delaying a decision benefit one party more than the other?
How might a change in costs, evidence or funding alter the opponent’s strategy?

A settlement offer is therefore more than a number. It is also a signal.

An application is more than a procedural action. It may change the parties’ bargaining positions.

A willingness to proceed may create leverage, but only if the opponent considers that willingness credible.

Structured strategic analysis helps legal teams think beyond the immediate legal question and examine the interaction between competing decision-makers.

Formalisation Does Not Mean Mechanisation

The strongest objection to formalising litigation strategy is that legal disputes are too complex, too human and too unpredictable to be reduced to a model.

That objection is partly correct.

No decision tree can capture every development. No probability estimate can eliminate uncertainty. No algorithm can fully represent the personalities of witnesses, the dynamics of a negotiation or the way a judge may respond to an argument.

But a model does not need to reproduce reality perfectly to be useful.

A map is valuable because it identifies important routes and relationships, not because it contains every detail of the landscape.

Formalising litigation strategy means identifying:

the principal decisions;
the credible alternatives;
the material uncertainties;
the assumptions being made;
the consequences of being wrong; and
the information that would justify changing course.

The purpose is not to turn litigation into a mechanical exercise. It is to make the reasoning more transparent and disciplined.

The Proper Role of Intuition

Experienced litigators often recognise patterns before they can fully articulate them.

They notice when an opponent’s position is weaker than it appears. They sense when a witness may not withstand cross-examination. They understand when a settlement window is opening or when additional pressure may be counterproductive.

That intuition is valuable data.

The problem arises when it remains inaccessible to everyone except the person who holds it.

Structured reasoning gives intuition a form that can be examined. It asks the lawyer to identify the observations behind the instinct, the assumptions connecting those observations to the recommendation, and the events that could prove the assessment wrong.

This does not diminish expertise. It makes expertise more communicable.

It also allows teams to compare different judgments without forcing artificial agreement. Two lawyers may assign different probabilities to the same outcome, but the reasons for that difference can be identified and discussed.

The disagreement becomes useful information.

Strategy Must Be Adaptive

A litigation strategy should never be fixed at the beginning of a case and left unchanged.

New evidence emerges. Witnesses perform differently from expectations. Applications succeed or fail. Costs increase. The opponent’s behaviour reveals new information. The client’s commercial priorities change.

Each development should update the strategic model.

This is where structured reasoning becomes particularly powerful. The original assumptions can be compared with what actually happened. Probabilities can be revised. Alternative paths can be reconsidered.

Over time, the organisation can learn:

which assumptions were consistently accurate;
where probabilities were overestimated or underestimated;
which strategies produced better outcomes;
how costs differed from forecasts; and
when settlement decisions created or destroyed value.

Experience then becomes more than memory. It becomes a body of structured, reusable intelligence.

From Legal Analysis to Litigation Intelligence

This is the idea behind Lawptimize.

Lawptimize is being developed as an AI and machine-learning platform for Structured Litigation Intelligence. It provides a framework for modelling the decisions, probabilities, costs, potential outcomes and strategic alternatives within a dispute.

The objective is not to tell lawyers what to do.

It is to help them:

construct and compare strategic scenarios;
make assumptions explicit;
evaluate settlement against continued litigation;
assess expected value and downside risk;
update the analysis as the case develops; and
learn from predicted and actual outcomes.

AI can assist in identifying relevant information, challenging assumptions and generating alternative scenarios. Machine learning can support calibration by comparing forecasts with actual results across time.

The lawyer remains responsible for the judgment. The technology strengthens the structure around that judgment.