Legal Automation
Just scan or upload, and then validate. Our software does the rest. Complete your entire document intake process more than 5x faster without hiring more people, outsourcing, or changing your practice management system.
Extract Filer automates multiple processes--like sorting, matching, and naming documents-- eliminating hours of tedious manual labor. It enables fewer people to get more work done, saving you money on day one.
Extract uses computer vision, natural language processing, and machine learning to sort, tag, and name legal documents, from medicals to pleadings, according to your rules, and file them into your practice management software
Stockwell Harris, a 60-attorney workers compensation law firm, maintained a staff of 8-12 temp workers/day to sort, separate, scan and electronically file roughly 10,000 pages/day of incoming documents--including insurance claim files to be set up as new files, and mail and fax correspondence including correspondence, pleadings, medicals, med-legals, bills and liens, panel requests, and Notices.
The manual process of searching the system for each document to find the correct Matter to which it belonged, then titling it properly was cumbersome and time consuming; often, it took several days for documents to make their way into the practice management system, and many documents were filed incorrectly. These errors and delays meant that attorneys couldn’t be as responsive as they needed to be, and sometimes even missed important documents that were misfiled by staff.
With a 2 week integration of Foundation Extract,
Stockwell Harris saw:
Extract Filer automates the majority of the work, and your staff validates the results through a super simple user interface that continuously learns with each page it processes. Your staff can manage the whole process from anywhere, even remotely, through one application, without the need to bounce between multiple scan, document, practice management, and email systems. It integrates to pick files up automatically from your eFax and scanner, and push processed documents into virtually any practice management system, including Clio, Prolaw, and MerusCase.
Extract Filer leverages OCR, computer vision, natural language processing, and machine learning to identify, tag and sort legal documents—including medicals, pleadings, bills, and litigation correspondence. Load large files, faxes, and mixed batches of scanned mail and Extract will categorize, tag, and split each document based on your firm’s procedures.
Extract Filer instantly links each document to its proper case file by capturing names, claim and case numbers, and other unique identifiers and searching your database automatically. It pulls detailed information from each document, like dates, sender names, doctors names and dates of service, and uses this information to descriptively title each document to your specifications.
A mislabeled or misfiled document can have disastrous consequences. With Extract Filer, you set your processes and rules, and the AI ensures that they are followed every time. Extract features robust analytics to help you understand and predict your document volumes and staff efficiency, and optimize accordingly. Its reporting features allow you to audit all document processing actions, giving you full control over your mailroom operations. It tracks all user behavior in the system, providing transparency into exactly when your staff are working and how productive they are being, even if they are working remotely.
NEW CASE STUDY
Vision, Language, and Learning models can be assembled together for intelligent process automation and insight extraction.
Cloud-based and easily integrated via suite of APIs and configurable input and downstream connectors.
Pre-trained to deliver immediate value and continues to learn and improve through feedback
Intuitive user interface built to optimize the relative strengths of humans and machines.
ISO 27001 certified and customer data encrypted and isolated in SOC2 Secure SaaS cloud environment