Legal and Insurance
Legal & Insurance Automation
Turn unstructured legal and insurance documents into structured data and move claims and workflows faster.
Legal Data Processing
AI transforms legal and insurance workflows by turning unstructured documents, video, and operational data into structured, auditable records. DeepX enables document processing, targeted data extraction, and AI-powered investigations without replacing existing systems. Our workflow supports claims processing, document review, and compliance workflows by extracting and structuring data from large volumes of unstructured documents. Using OCR, NLP, and AI automation, teams can reduce review time, minimize errors, and standardize decision-making across claims, underwriting, and legal operations.
Why Legal & Insurance Uses AI
Document Classification
Automatically classify and separate legal and insurance documents by type, context, and structure to organize large volumes of files.
Audit Automation
Run rule-based and AI-driven checks across documents to detect inconsistencies, enforce compliance, and support audit workflows.
Data Extraction
Extract key fields from contracts, claims, forms, and reports with high accuracy to enable structured data across workflows.
Handwriting Recognition
Process scanned and handwritten documents using OCR to capture critical data from legacy records and manual inputs.
Document Summaries
Generate clear, structured summaries of cases, policies, and investigation materials to speed up review and decision-making.
Duplicate Detection
Identify duplicate documents and overlapping records to reduce noise, improve data quality, and streamline processing at scale.
Data & Deployment
We deploy AI securely across your existing infrastructure without forcing cloud-only setups:
Private cloud (VPC), on-prem, or hybrid deployment options
Full environment isolation across dev, test, and production
Compliance-ready setup aligned with SOC 2, HIPAA, and enterprise policies
Optional self-hosted LLMs for sensitive document processing
Edge deployment support for local, real-time data handling
Data stays under your control. AI runs where your operations require it.
DXHub
DXHUB is a modular AI Platform.
It takes fragmented video, documents, and multimodal inputs and converts them into structured, searchable, model-ready data without requiring changes to your existing infrastructure.
Transforms raw data into AI-ready formats
Unifies video, documents, and sensors
AI chat for quick summaries and guidance
Featured Cases
Document AI Platform
The Challenge
Legal and insurance workflows rely on large volumes of unstructured documents such as contracts, claims, and reports, combined with fragmented data and manual review, which slows processing, increases errors, and limits visibility across cases.
Our Solution
DeepX built an AI-powered platform that combines document processing for classification and data extraction, OCR for handwritten and scanned records, and agentic AI to structure workflows across legal operations, claims handling, and investigations.
Results & Impact
This converts unstructured documents into structured, auditable data streams, enabling faster case processing, improved accuracy, reduced manual workload, and scalable automation across high-volume legal and insurance operations.
How Impact Is Measured
Increase straight-through processing
Improve document accuracy
Minimize duplicate records
Accelerate case resolution
Reduce claim processing time
Lower operational workload
Implementation Path
Strategic Discovery
Define use cases, set KPIs, identify compliance risks, and document regulatory requirements.
Data Readiness
Assess workflows, review documents, validate data quality, and prepare secure environments.
Controlled Pilot
Deploy across teams, validate outputs, measure KPIs, and document case outcomes.
Production Rollout
Scale operations, enforce access control, enable audit logs, and formalize governance.
Continuous Evaluation
Monitor KPIs, review compliance, assess data quality, and continually improve workflows.
Operational Validation
Confirm impact, validate performance, document audit trails, and secure stakeholder approval.
Realization
Bring clarity to legal and insurance workflows with AI
Launch a document processing or claims automation use case, validate results quickly, and scale AI with full control over data, access, and compliance.
Frequently Asked Questions
What data can you extract?
Yes, we work with your existing CCTV and IP camera systems, and we can add edge units only where needed. We design our computer vision layer to sit on top of your current infrastructure, so you don’t have to replace cameras or rebuild systems. This allows you to start with a pilot on a subset of feeds and scale as your teams validate operational value. From the start, we apply governance controls to prevent the uncontrolled propagation of video data as systems are connected across your environment.
Do you support handwriting?
Yes. We support handwriting recognition as part of AI-powered OCR workflows for scanned claims, legacy records, and hand-filled documents. Accuracy depends on document quality, format, and language, so we typically pair handwriting recognition with confidence scoring and review steps to support better document accuracy and validation.
Can you summarize documents?
Yes. We can generate document summaries and structured reports to help teams review documents faster. This is useful when claims teams, legal teams, or underwriting teams need a quick understanding of a file before deeper review, investigation, or decision-making begins.
Are outputs reviewable?
Yes. We design workflows so outputs can be reviewed, validated, and traced throughout the process. With audit trails, validation logic, and governance controls, teams can better understand what was extracted, what rules were applied, and where human review was involved. This is important for regulated document workflows in legal services and insurance operations.
Do you support human review?
Yes. We support human-in-the-loop workflows by routing low-confidence extractions, exceptions, or higher-risk documents to reviewers. This gives teams a practical way to combine AI automation with human oversight, which is especially important in claims processing, legal review, and compliance-sensitive operations.
What security controls do you provide?
We support enterprise security controls such as role-based access, audit trails, customer-managed keys, VPC or VNet deployment options, on-prem deployment, policy-based masking, and consent logs. We also support organizations with strict compliance requirements, including SOC 2 and HIPAA-aligned security and data handling needs. These controls help reduce exposure, limit access, and support secure document processing for legal, insurance, and compliance-focused organizations.
Do you train on our documents?
We provide model-training opt-out guarantees, so your documents can remain within the governance boundaries you define. This is especially important for legal document automation and insurance claims automation workflows that involve confidential, regulated, or highly sensitive information, including environments with SOC 2 and HIPAA requirements.
Do you offer self-hosted LLMs?
Yes. We offer a self-hosted LLM option for sensitive legal and insurance workflows where data must stay within your own environment. This supports stricter governance, privacy, and enterprise AI deployment requirements while still enabling document summarization, extraction, and structured output generation. It is especially relevant for teams operating under tighter internal security standards or compliance requirements such as SOC 2 and HIPAA.
