Go beyond legal analytics, case research, and human intuition
Most firms continue to rely on anecdotal and imprecise means of forecasting litigation. Elite firms and sophisticated practitioners recognize there’s a better way.
Pre/Dicta provides unmatched intelligence for attorneys and litigants throughout the litigation lifecycle, delivering critical insights into case outcomes, parties, judges, and venues.
Offer more creative success-based fee structures that accurately reflect litigation risk.
Utilize forecasts comparing law firms’ projected success rates throughout the litigation lifecycle to select the firm most likely to achieve the desired outcome.
Assess whether including or excluding ancillary adverse parties can enhance the likelihood of favorable outcomes, especially in complex cases involving multiple defendants.
Leverage comparative forecasts to assess optimal venue selection.
Before pursuing motions for transfer, reassignment, or disqualification, evaluate their potential impact on each stage of litigation to determine if they will provide a meaningful advantage to the case.
Forecast the resource needs for each matter across the litigation department, assigning partners, associates, and support staff with precision to ensure optimal workload distribution and efficiency.
Determine the optimal approach to case resolution, either by successful motion practice or settlement.
Provide executives and board members with high-level predictive insights about litigation’s potential effects on business performance, shareholder value, and operational continuity.
Help clients translate litigation risk into business terms, allowing assessment and management of regulatory, operational, and reputational exposure.
Anticipate litigation outcomes and prepare clients for various scenarios, supporting continuity and minimizing business risk.
Develop flexible plans to manage potential litigation outcomes, ensuring business continuity.
Simulate various litigation scenarios, offering clients with a spectrum of strategic choices accompanied by the range of potential outcomes.
Map out key litigation stages, empowering clients to make informed decisions at critical points.
Offer guidance on pursuing settlements or proceeding with litigation, tailored to client business priorities.
Advise on the impact of legal proceedings on departments like finance, HR, and operations within a client’s organization.
Refine dispositive motion practice, tailoring strategy according to the likelihood of a favorable outcome
Provide insights for including or excluding defendants strategically, allowing for advantageous venue selection and maximizing chances for dismissal before discovery.
Assess how a new judge assignment impacts case outcomes and adjusts strategy accordingly.
Leverage AI-based insights to strategically time negotiations, aligning them with procedural pressure.
Craft precise and highly-accurate litigation budgets.Â
Maintain clear, informed communication with clients to ensure alignment and engagement throughout litigation.
Predict the duration of litigation phases, helping clients plan budgets and allocate resources efficiently.
Pinpoint optimal negotiation moments by predicting when parties’ leverage or procedural advantages peak.
Understand whether to reveal or conceal the strongest arguments of your case at early stages of litigation.
Establish a fixed fee for pre-discovery motions, with a performance-based bonus if an early dismissal is achieved.
Implement a phased success fee tied to achieving specific litigation milestones, incentivizing progress at critical stages.
Offer a deferred fee structure, where a portion of fees is delayed and tied to settlement outcomes, aligning fees with predicted case trajectory.
Structure value-based fees adjusted based on the reassignment likelihood and tendencies of potential judges in the case.
Create predictive distinctions to highlight suitability for a particular matter or client.
Validated against millions of cases and billions of data points
” Thrilled to announce that all our attorneys at Quinn Emanuel now have access to Pre/Dicta AI’s powerful tool suite. This AI-driven technology uncovers hidden patterns in judicial decisions, helping us deliver exceptional results for our clients. “
Executive Chairman and Founding Partner at Quinn Emanuel
We are neither a self-serve analytics tool nor a case law research vendor. We are providing next-generation litigation intelligence to practitioners and their in-house counterparts.
Comprehensive Case Analysis Incorporating Judge Background and Litigation Dynamics
Combines biography, prior rulings, party types, and procedural posture into a complete case profile that clarifies likely outcomes at each stage.
Systematic Evaluation of Law Firm Performance Across Motions and Case Outcomes
Enables comparison of firms by analyzing win rates, case composition, and litigation patterns to reveal relative strengths and weaknesses.
Detailed Motion Metrics Including Success Rates, Timing, and Dispositions
Delivers judge-specific data on motion outcomes, showing frequency, success rates, and resolution timelines to inform litigation strategy.
Comparative Assessment of Case Results and Trends Across Federal Venues
Examines historical outcomes across jurisdictions to provide a clear basis for selecting venues and sequencing venue-related motions.
Data-Driven Estimates of Litigation Stages and Resolution Timing
Predicts how a case is likely to progress through its stages, giving clear expectations for timing of resolution and major rulings.
Identification of Material Prior Cases Based on Case Structure and Context
Surfaces the most relevant precedents by analyzing the underlying dynamics of a case rather than relying on keyword or citation matching.
Benchmarking of Firm Activity, Outcomes, and Litigation Profiles Against Peers
Measures a firm’s litigation activity and results against comparable firms to contextualize performance within the broader market..
Comparative Analysis of Judge Rulings Against District Averages and Biographical Cohorts
Places an individual judge’s decision patterns in context by contrasting them with district norms and judges of similar backgrounds.