Feature spec
Goal: Send a clear invoice after finishing a job.
- Add a client, line items, a due date, and payment instructions.
- Preview the total before exporting a PDF.
- Keep an editable draft if export fails.
CasePredict is a legal analytics tool designed to help personal injury lawyers evaluate case value and liability risk using structured case factors and machine-learning-backed predictions.
$9.99
Evidence scope: No current overall US chart position is available. Category-chart positions shown in discovery are a separate scope. Revenue is a directional model estimate, not verified earnings.
A product spec, screen plans, and build steps for your coding agent.
First kit free with a verified email
Combine features and design from your favorite apps.
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What should your app do differently? Your note travels with the kit so your coding agent builds around your idea.
A product spec, phased build plan, differentiation notes, and screen references.
Illustrative example: an invoice app for independent contractors. Your kit is tailored to the app you choose; this is not its generated content.
Goal: Send a clear invoice after finishing a job.
Invoice editor: Client at the top, editable line items in the middle, total and preview action at the bottom.
States: Empty draft, validation errors beside each field, exporting, and a retry action that preserves the draft.
Hypothesis: Contractors need faster repeat invoices more than more templates.
First experiment: Test duplicating a previous job with five contractors. Watch where they hesitate before expanding the feature set.
The full kit adds a phased build plan, evidence notes, tool prompts, and implementation guidance. It is a plan for your coding agent, not a finished app.
Usage: Mechanics are fair game; never reuse the original name, branding, assets, or verbatim copy.
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Good fit for mobile-first iOS and Android prototypes with managed app scaffolding.
Rork plan preview for CasePredict: map the core Business workflow, choose the smallest differentiated feature set, define the data and monetization boundaries, then prototype the riskiest user journey first.
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Original App Store material. Ratings and screenshots describe the existing app, not proof of demand for your version.
CasePredict is a legal analytics tool designed to help personal injury lawyers evaluate case value and liability risk using structured case factors and machine-learning-backed predictions. The app allows users to input key personal injury case variables and receive decision-support estimates based on trained predictive models. CasePredict is built for lawyers and legal professionals who want a faster, more structured way to think about case valuation, settlement strategy, and litigation risk. CasePredict currently includes two core tools: • Case Value Estimator Input key case facts and receive a machine-learning-backed estimated case value based on structured legal, liability, medical, and damages-related factors. • Liability / Trial Outcome Estimator Input liability-related facts and receive a model-backed estimate of the likely case outcome if the matter proceeds to litigation or trial. CasePredict can help users evaluate factors such as: • Venue • Court level • Client demographics • Liability facts • Police report status • Witness information • Fault allocation • Collision type • Vehicle movement • Property damage • Injury severity • Medical treatment • Treatment duration • Medical bills • Surgery, injections, or permanency • Lost wage claims • Prior or subsequent claims • Other case-value and liability-risk factors The goal is to give personal injury professionals a practical decision-support tool for reviewing cases, preparing for negotiation, evaluating risk, and thinking more systematically about valuation and likely outcomes. Key Features: • Input case factors directly from your phone • Generate a machine-learning-backed case value estimate • Estimate liability and likely trial outcome risk • Review predictions based on structured legal, factual, and medical variables • No account required • No login required • Simple mobile workflow for quick case review • Built specifically for personal injury case evaluation CasePredict is intended for legal professionals and decision-support use. It does not provide legal advice, does not guarantee a settlement, verdict, liability finding, or litigation outcome, and does not replace professional judgment. Case outcomes can vary based on facts, evidence, venue, witnesses, liability disputes, policy limits, medical proof, credibility, negotiation strategy, judicial rulings, jury composition, and many other factors. CasePredict requires an internet connection because predictions are generated using a server-hosted machine learning model.
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These are generated suggestions, not verified review quotations. Check current App Store reviews and speak with users before treating a possible gap as a requirement.
Hypothesis 1
Assumption to check: Limited data sources can reduce prediction accuracy
Validate with people who use this workflow before building.
Hypothesis 2
Assumption to check: User interface can be overwhelming for new users
Validate with people who use this workflow before building.
Hypothesis 3
Assumption to check: Lack of community features for sharing insights
Validate with people who use this workflow before building.
Hypothesis 4
Assumption to check: Slow loading times for large datasets
Validate with people who use this workflow before building.
Plan a focused first version with your coding agent. These are planning assumptions, not a delivery guarantee.
Choose one audience and one core workflow. Use the kit to agree on its screens, data, and acceptance criteria before building.
Decide which secondary features, integrations, and platform support can wait. Your version does not need to reproduce everything in the original.
Validate external services, specialist technology, data access, and ongoing costs for your chosen scope.
From the Build Kit assessment.
A reliable timeline needs an agreed scope and a technical check. Ask your agent to estimate the phases in BUILD_PLAN.md after that review.