Legaltech solution specialized in predictive jurimetrics
A legaltech solution specialized in predictive jurimetrics, using artificial intelligence to model the compensation and damages probabilities involved in employment contract terminations. LegalQuantum helps parties converge toward fair amicable settlements by replacing subjective estimates of legal risk with objective data. The platform, co-founded by Pierre Doitrand (lawyer, doctor of law, graduate of SKEMA Business School) and Isabelle Doitrand-Amy (ISFA engineer, master's in pure and applied mathematics), combines legal and mathematical expertise. Pierre Doitrand founded Cabinet Doitrand in 2000, building more than 20 years of experience in employment contract terminations. Since 2015, Isabelle has led the development of statistical decision-support tools and the integration of AI solutions. The solution analyzes the characteristics of each case to generate a probability distribution of possible judicial outcomes and determine the fair value of a settlement. HR departments using the solution report savings of roughly ten person-days per case and a one-third reduction in exposure to damages. The tool was incubated within the Lyon Bar Incubator, ensuring validation by legal practitioners.
Sharp specialization in jurimetrics applied to French employment law and labor tribunals
A three-step process: entering the case characteristics, generating the probability distribution, determining the fair value
Calculation of mathematical expected values based on real labor tribunal case law data
An approach grounded in objective case law data rather than intuition
Free trial request available for an initial case
Interface to compare different negotiation scenarios
Measured one-third reduction in exposure to damages
A unique combination of legal and mathematical explainability validated by practitioners