Advanced AI Technology
AI Medical Record Review: Smarter Summaries, Improved Care

Generative AI for Medico-Legal Chart Reviews
DeepKnit AI is an advanced medical record review model that can review and extract data from the medical records relevant to a case, according to your specific requirements. A generative and regenerative AI that is quick and efficient, and can be customized to meet your business requirements—all at a reasonable cost.
By leveraging DeepKnit AI’s enhanced Natural Language Processing (NLP) & Deep Learning algorithm, medical practitioners and legal firms can now efficiently process complex medical data, generate an overview of the patient’s health care history, and produce a chronology and summary of key events such as doctors’ visits, accidents, injuries, rehabilitation and recovery, with high accuracy and consistency.
Our DK Record Review model has been trained with high-quality datasets and models to provide a customized AI medical records summary. To ensure generative performance for the model, we compile quality datasets by curating and annotating diverse types of sources including anatomy, physiology, ICD and CPT codes, personal health data, lab results, administrative data and so on.
Our AI Medical Record Review Services
Medical Record Review
Medical Record Organization
Medical Case History & Summary
Medical Case Chronologies
Medical Bill Review
Medical Chart Review
Deposition Summaries
Trial Preparation
Plaintiff Fact Sheets
Key Features at a Glance
Comprehensive Summary Builder
Custom/Pre-defined Templates
Advanced Data Processing
Intelligent Data Extraction
Interactive Timeline Summary
Flexible File Import/Export
Document Comparison
Instruct DK
Give specific instructions you have for individual case files. Get customized instructions to improve data.
Smart Search & Save
Find important information in the summary quickly with DeepKnit AI’s advanced OCR search capabilities. Our model analyzes the Electronic Health Records (EHR) and instantly finds information.
Advanced Filtering
Built-in Annotator
Quantum Guideline Management
Upcoming Features:
Interactive Chat Function
We are developing an advanced chat feature that will be trained to interact with users in a human-like conversational manner for more dynamic data retrieval and analysis.
Reinforcement Learning
Voice Recognition
With this feature, attorneys and healthcare professionals will be able to dictate information directly to the AI, thereby streamlining data entry and documentation processes.
Output Comparison and Template Optimization
The DeepKnit AI Process
1
Template
Use the available templates or set up custom templates to ensure your reviewed files are organized. Confirm the need for human in the loop review.
2
Upload
Upload the medical chart and documents onto our platform. Add special instructions if any. Now let DK AI start the process of reviewing.
3
Additional Features
Add hyperlinks to the source documents, Bates stamping and highlight key case facts using DeepKnit AI.
4
Processing
DeepKnit AI conducts a thorough analysis of the files, extracting necessary information while flagging discrepancies and documents that cannot be processed.
5
Data Mining
Have questions or need more details from the input files? You can review those thoroughly and chat with DK AI to quickly gather the information you need.
6
Learning
DeepKnit AI will start learning from your input and feedback to get better as you use. The goal is to keep providing you with an output that fits your needs ideally.
Human-in-the-Loop (HITL) Review
We realize that medical charts and notes may not always be scanned properly and there can be handwritten information that is extremely difficult to OCR and process. Here is where the HITL (Human-in-the-Loop) review can be used.
Clients have the option to review AI-generated outputs themselves or use our team for human review, making sure that any discrepancies or information that cannot be captured are flagged for further review, and also ensure compliance with specific guidelines. You can use the review screen in the process or share the data with peers for collaborative validation, enhancing data accuracy and consistency.
Let’s get started! Integrate DeepKnit AI into your claims’ workflow.
Why Use DeepKnit AI?

Save Time and Cost
Transparency and Coherence
Accuracy
Policy Adherence
Strategic Insights
Security
Dynamic Pricing and Turnaround Time
Real-life Case Scenarios
Medical record summaries and chronologies offer significant advantages in almost all areas of law practice. Let us take a look into some of those practice areas involved:
Medical Malpractice
Product Liability
Mass Tort
Medical Treatment Reviews
Workers’ Compensation
Disability Cases
Personal Claims
Redefining AI Medical Review and Summary
Empowering Medical and Legal Professionals with Optimized Medical Record Reviews