The Strategic Value of Pre-Trial Motions
Pre-trial motion practice is where many cases are won or lost. A successful motion to dismiss eliminates claims before expensive discovery begins. A well-executed summary judgment motion can end the case entirely. Daubert motions that exclude a key expert can gut the opposing case. Motions in limine that limit damages theories can shift settlement dynamics dramatically.
The decision about which motions to file — and how to position them — should be grounded in data about how courts have ruled on similar issues. AI-powered analytics bring that data to bear on every significant motion decision.
Motions to Dismiss: When the Data Supports Filing
Rule 12(b)(6) motions to dismiss are filed far more often than they succeed. Nationally, motions to dismiss are denied more often than granted in most civil claim categories. But that aggregate statistic conceals enormous variation by claim type, jurisdiction, and judge.
Before filing a motion to dismiss, AI case analytics can help you answer:
- What is this judge's grant rate on motions to dismiss in this claim category?
- How has the Twombly/Iqbal pleading standard been applied to similar claims in this circuit?
- Are there cases with substantially similar pleadings that survived or failed 12(b)(6) challenge?
This analysis helps avoid filing motions that are unlikely to succeed and waste the court's goodwill, while identifying the cases where a focused 12(b)(6) challenge has genuine merit.
Summary Judgment: Building a Data-Grounded Record
Summary judgment is the most consequential motion in civil litigation. The decision to move for summary judgment — and how to frame the motion — should be based on more than attorney intuition about the strength of the undisputed facts.
AI analytics can tell you:
- The grant rate for summary judgment in this claim category before this judge
- The most common grounds on which summary judgment has been granted or denied in similar cases
- The kinds of factual disputes courts have found sufficient to preclude summary judgment in similar circumstances
- How courts have handled the specific legal issues you're raising
This intelligence shapes not just whether to move for summary judgment, but how to construct the statement of undisputed facts, which legal arguments to lead with, and how to handle the factual disputes you know exist.
Daubert and Expert Exclusion
Expert exclusion motions under Daubert and Rule 702 are among the most research-intensive pre-trial motions. The analysis involves both legal standards and substantive evaluation of the expert's methodology — requiring familiarity with how courts have assessed similar experts and similar methodologies.
Case analytics on expert exclusion decisions can reveal:
- How courts have treated the specific expert methodology your opponent is using
- Whether this type of expert opinion has faced successful exclusion challenges in other cases
- The arguments courts have found most and least persuasive in excluding similar experts
- This judge's history with Daubert motions specifically
Motions in Limine: Shaping the Trial Before It Starts
Motions in limine do the quiet work of shaping what the jury sees and hears. The most impactful in limine motions address evidence that would significantly affect the damages calculation, evidence of prior bad acts, and evidence whose prejudicial impact outweighs its probative value.
Understanding what courts have allowed and excluded in similar cases helps focus in limine practice on the motions most likely to succeed. Filing too many in limine motions dilutes judicial attention — prioritizing based on what the data suggests will actually be granted is better strategy than filing comprehensively on every possible evidentiary issue.
Putting It Together: A Data-Driven Motion Calendar
The most effective pre-trial motion practice integrates AI analytics at each decision point: Which claims should we move to dismiss? What are the strongest summary judgment grounds? Which of the opponent's experts is most vulnerable to exclusion? What evidence is most critical to limit through in limine motions?
Answering these questions with data rather than intuition leads to a more focused motion calendar — fewer motions, better positioned, with higher success rates.