Casefleet: Legal Tech Builder
Engineering evidence management and case-building software for attorneys. Our work focused on building tools to organize large volumes of unstructured evidence into a unified timeline, enabling law firms to map facts to legal complaints with 95% document recognition accuracy.
60% faster reporting
Efficiency
Consistent Data Accuracy
Accuracy
Challenge & Scope
Requirements
Organizing large volumes of unstructured legal evidence
Maintaining data accuracy for legal complaints and automated reports for legal complaints and automated reports
Meeting attorney-client privilege and data security requirements and attorney-client privilege technical standards
Integrating backend pipelines for evidence processing for evidence processing
Strategic Objectives
Help attorneys organize evidence, map facts, and build legal cases more efficiently.
Key Deliverables
Technical Execution
Evidence Fact Mapping
Architected a unified fact-mapping engine that allows attorneys to link evidence to specific legal claims, automatically building a cohesive litigation timeline.
Auto-Reporting Pipeline
Built a reporting engine that generates legal documents (e.g., complaints) based on mapped evidence, reducing manual drafting time by 60%.
Data Validation Systems
Implemented data validation layers to ensure that all evidence-to-fact mappings remain accurate and traceable for trial.
Technical Stack
Backend
Python
Django
FastAPI
Database
MySQL (Secure/Audited)
Process
Backend Engineering
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Features & Outcomes
Fact Timelining
Unified visual evidence for complex litigation.
Automated Reports
60% reduction in time to file complaints.
Case Hub
Centralized case information for large litigation teams.
Client Benefits
Efficient, Senior backend engineers with legal technology experience
Access to senior Python and Django engineers to specialized Python/Django legal tech experts
Mitigated technical debt in critical evidence-processing pipelines
GMT+3 collaboration overlap with US teams across US and Ethiopia time zones (UTC+3)
Strategic Outcomes
Improved attorney workflows for case building and fact review in case building and fact review
Enabled law firms to organize massive evidence volumes
Reduced time-to-file for legal complaints via automation
Established a centralized case data repository for case data
System Interfaces
Project Team
Sami
Backend Engineer
Reporting Engine & Fact Mapping
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