Litify
The legal operating system built on Salesforce for high-growth firms and corporate departments.
AI-driven predictive analytics for employment law and HR compliance.
Employment Foresight, developed by Blue J, is a sophisticated legal predictive engine designed to bring certainty to employment law outcomes. By leveraging machine learning models trained on thousands of historical court decisions and administrative rulings, the platform enables legal professionals and HR executives to predict how a court would likely rule on specific fact patterns. Unlike traditional legal research which relies on keyword matching, Employment Foresight identifies hidden correlations between case variables—such as length of service, jurisdiction, and character of employment—to provide a statistical probability of success. By 2026, the platform has integrated deeper generative AI capabilities to summarize voluminous case files and cross-reference them with its proprietary predictive dataset. This allows for rapid assessment of complex issues like worker classification (Independent Contractor vs. Employee), reasonable notice periods, and constructive dismissal. Its architecture is built to mitigate the cognitive biases of practitioners, providing a data-backed foundation for settlements, litigation strategy, and proactive organizational compliance. The 2026 market position emphasizes 'Preventative Legal Tech,' moving beyond reactive litigation into real-time HR decision support.
Uses a proprietary ensemble of machine learning algorithms to evaluate over 100 variables per legal issue.
The legal operating system built on Salesforce for high-growth firms and corporate departments.
The Industry Gold Standard for Legal Table of Authorities and Document Styling Automation.
Automated legal intelligence and risk scoring for the modern enterprise.
Compiling Law into Code: The world's first open-source domain-specific language for computational law.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Leverages semantic search and Natural Language Processing to find cases with identical fact patterns rather than just matching keywords.
A specialized module that aggregates data on age, tenure, and role to predict severance requirements.
A UI-based toggle system that allows users to adjust variables (like 'notice period offered') to find the 'tipping point' of litigation risk.
Aggregate data visualization for organizations to see systemic risk patterns across departments.
Uses LLM-based tech to condense 50-page rulings into actionable fact-summaries compatible with the predictive engine.
Cross-references legal outcomes across different provinces or states to identify the most favorable forum for a case.
Uncertainty in 'reasonable notice' often leads to overpayment or costly litigation.
Registry Updated:2/7/2026
Compare with the 3 most similar cases surfaced by the engine.
Use the report to justify the settlement offer to the board.
Mass misclassification lawsuits posing existential threats to business models.
Assessing if a change in duties constitutes a breach of contract.