Results for "LegalTech”
LegalTech
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DATAFOREST is an AI-native product and data engineering company delivering outcome-driven solutions with senior AI-capable teams. We build data platforms, AI workflows, and agentic systems that automate operations, unify data, and accelerate delivery using LLMs, RAG, and modern engineering practices.
LegalTech
Integrations
ERP
Databases
Data Analytics and Visualization
Conversational AI
Python
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RELEVANT TALENT
CASE STUDIES
How LLM-Powered System Streamlined Contract Analysis by 70%Development of an LLM-powered system to automate contract analysis workflows for construction and legal teams, achieving 70% faster processing and 90% higher accuracy.
UppLabs is a software development company delivering secure, compliant, and AI-powered solutions for FinTech, Healthcare, and Real Estate companies since 2014. Trusted by 120+ clients, we help businesses launch scalable digital products faster through full-cycle development, cloud infrastructure, and AI-driven engineering solutions.
LegalTech
Web Apps
SaaS
Blockchain & Crypto
Booking Systems
Banking & Trading Platforms
Kubernetes
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RELEVANT TALENT
CASE STUDIES
American LegalNet: MVP Development for Legal Workflow Automation Platform with eDockets eFiling and Compliance. Acquired by AderantThe platform required end-to-end encryption of data transmissions, secure storage, and full compliance with CCPA and GDPR regulations to serve law firms operating across 20+ countries.
Rubix Code DOO is a full-stack AI development company specialising in building compliant AI ecosystems across healthcare, real estate, business intelligence, and legal tech. We partner with clients to design and deliver end-to-end AI solutions, from data infrastructure and cloud-based inference to industry-facing dashboards and actionable insights.
LegalTech
AI & ML Solutions
Web Apps
Website Design
Data Analytics and Visualization
Conversational AI
Python
More +
RELEVANT TALENT
CASE STUDIES
Online brand protection for e-commerceDetection had to run continuously across multiple third-party commerce platforms with differing data structures and access constraints, while staying resilient to changes on those platforms.
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