Document Automation for High Case Volume Lawyers
Stop drowning in paperwork and start scaling your practice. Handle thousands of cases without thousands of employees.
Schedule a Free ConsultationStop drowning in paperwork and start scaling your practice. Handle thousands of cases without thousands of employees.
Schedule a Free ConsultationYou're handling 100, 500, or even 1000+ cases at once. Each case follows the same pattern, uses similar arguments, and requires the same documents. But somehow, you're still:
NYCM Claim No.: 2025-000123
Our File No.: NYCM.NFL-56789
CIVIL COURT OF THE CITY OF NEW YORK
COUNTY OF QUEENS
----------------------------------------------------------X
HEALTHCARE CO,
Plaintiff(s),
Index No.: 123456/25
AFFIRMATION IN SUPPORT
OF MOTION FOR SUMMARY JUDGMENT
-against-
INSURANCE CO,
Defendant(s).
----------------------------------------------------------X
We don't just fill in blanks. We implement your firm's actual standard operating procedures using AI agents that understand legal reasoning.
Your paralegal knows exactly how to draft a motion for summary judgment. They know which affirmative defenses apply, which case law to cite, how to organize the facts. But it takes them 4-6 hours per motion because they're doing it manually.
We turn that expertise into a one-click pipeline. Upload your case documents, and our system follows your firm's playbook step-by-step: extract the relevant facts, apply your decision framework, pull in the right legal arguments, structure everything according to your preferences, and output a draft that's ready for attorney review.
The result: What took your team half a day now takes 15 minutes.
Our automation platform integrates directly with your existing tools and workflows. Whether your firm lives in Outlook, Clio, NetDocuments, or a shared drive, we can connect to it seamlessly.
Hi team,
We just received a new complaint that requires immediate attention. Please find the attached complaint document for case reference number 2025-CV-4521.
Case Summary:
Plaintiff: Metro Insurance Company
Defendant: HealthCare Services Corp
Filing Date: January 15, 2025
Jurisdiction: New York Supreme Court, Queens County
This appears to be a standard no-fault insurance dispute. We need to file our answer within 20 days. Please prioritize this case and prepare the initial response documents.
Best regards,
John Davis
Representing insurance companies in no-fault lawsuits? You know the challenge: tens of thousands of cases per year, all under $5,000, all requiring the same documents but with different facts.
Defendant, by attorneys SMITH & SMITH, ESQS., answering the complaint of the plaintiff herein alleges:
The allegations contained in Paragraphs designated "1" and "7" are admitted.
Denies any knowledge or information sufficient to form a belief as to each and every allegation contained in Paragraphs designated "2", "3", "5", "8", "9", "11", and "13" of the complaint.
Denies any knowledge or information sufficient to form a belief as to each and every allegation contained in Paragraph designated "4" of the complaint and respectfully requests all questions of law be referred to the Court.
Denies, upon information and belief, each and every allegation contained in Paragraphs designated "6" and "10" of the complaint.
Denies, upon information and belief, each and every allegation contained in Paragraph designated "12" of the complaint and refers all questions of law to the Honorable Court.
Traditional tools like Gavel.io and HotDocs rely on fill-in-the-blank templates. They work for simple forms, but fall apart when your documents require many inputs or more complex legal reasoning.
We build firm-specific legal AI agents that can follow your rules, decision frameworks, and drafting preferences with precision. These agents think through your workflow the same way your paralegal or associate would.
Is Document Automation Right for You?
In 30 minutes, we'll:

Before starting Avize, Tommy spent 3 years as a senior software engineer at Boosted.AI, a venture backed AI Fintech startup. Before that, he built high frequency options trading systems at IMC Trading. After starting Avize, Tommy became very interested in the law and specifically how AI will affect the practice of it.

Before Avize, Grant spent more than five years at AWS building and operating secure identity systems that scale globally. As generative AI emerged, he contributed to Amazon’s early initiatives in the field and recognized its potential to reshape the legal profession. Today, he’s building Avize to bring reliable, compliant AI tools to lawyers.