Save Time and Effort Spent Crafting Queries Using the Smart Search Beta API Endpoint

Crafting precise search queries can be a time-consuming and delicate process, even for the most sophisticated of legal researchers. The beta launch of Docket Alarm’s new Smart Search endpoint seeks to streamline this process while optimizing the accessibility of even the most granular litigation data.

The Smart Search tool converts plain language instructions into robust queries, perfectly tailored to Docket Alarm’s search algorithm. Simply send your request to /smart_search/ along with your login token, OpenAI API key, and a set of instructions detailing what you need to find. The endpoint will then generate an optimized query to target that specific criteria.

For example, let's say you need to locate all documents involving Ford Motor Company (but not Ford Motor Credit) that may contain judgment amounts, fees, and span from June 2014 to December 2019. Just include those instructions, and Smart Search will dynamically build a Docket Alam-specific query such as:

party:(Ford AND "Motor Company" NOT "Motor Credit") documenttitle:(judgment OR judgement OR "damages awarded" OR fee OR fees OR "amount due" OR "awarded amount") from:6/1/2014 to:12/31/2019 is:document

Smart Search has demonstrated great improvements to search efficiency and accessibility throughout our team’s internal testing. Should you explore the beta for yourself, we look forward to hearing about how Smart Search improves your organization’s litigation data research.

Docket Alarm's Case Matcher API: Find Cases Effortlessly with Limited Details

It can feel impossible to locate quality litigation data when crafting search queries from partial case details. Without a full docket number and court details, targeted data points can easily evade detection—obscured by the ever-rising tide of new cases and filings. However, Docket Alarm's latest API innovation, the Case Matcher endpoint, harnesses advanced language models and search engineering to match limited details with actual dockets from our database, making the process of finding cases more efficient than ever.

Using the Case Matcher endpoint is straightforward. Simply send a GET request to /case_matcher/ along with any relevant information you have - parties involved, state, filing date, keywords from the case title, etc. The more details you can provide, the better the match will be. The API will then use the same process a human would to find the correct case on Docket Alarm, no matter what information you have available.

Key advantages of the Case Matcher API:

1. Saves time: Automate the case matching process and eliminate manual searches.

2. Improves accuracy: Sophisticated algorithms ensure precise case matches.

3. Seamless integration: Easily incorporate the API into your existing case management systems.

4. Customizable: Specify the matching criteria most important to your firm.

5. Real-time updates: Keep your internal databases current with the latest case information.

Case Matcher converts the limited details provided into a cohesive response, containing the matched case number, court, and token cost, paired with a link to review the case in full on Docket Alarm. This tool is poised to be invaluable for firms, attorneys, and legal professionals who need to quickly identify and access case information from partial details.

The Case Matcher endpoint is currently available in beta. Utilize the endpoint today to eliminate the frustrations of searching based on partial data once and for all!

Docket Alarm Reaches New Milestone: 800 Million Documents Now Available in Database

We are thrilled to share a significant milestone in the evolution of Docket Alarm — our database now houses over 800 million documents and dockets, marking a momentous expansion that reinforces our commitment to delivering the most comprehensive legal research tool available. This achievement not only highlights our continuous growth but also our unwavering dedication to enhancing the research capabilities of attorneys and legal professionals across the globe.

We plan to add more state coverage in the coming weeks, after recently adding North Carolina and Oklahoma state to the database, further enriching our database and ensuring that our users have access to the most up-to-date and comprehensive legal information available. 

Explore our complete coverage on our website.

For more information or assistance with your subscription, please contact our sales team at

Motion Analytics Expands to New Cities

Docket Alarm’s state analytics have expanded to new jurisdictions, including major cities.

Pleading tags, launched for federal courts in 2022, apply universal identifiers to docket entries, making it easier to quickly read a docket sheet. The pleading tags also power motion analytics, allowing users to learn how likely a particular motion type is to succeed. 

The newly launched jurisdictions include: 

  • District of Columbia

    • Superior Court

  • Georgia

    • Fulton County

  • Texas

    • Harris County

We look forward to continuing to expand our analytics offerings to state courts throughout the year!

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Docket Alarm Expands California State Coverage

Exciting news from Docket Alarm: we've expanded our coverage in California! We now cover Mariposa, Mendocino, Shasta and Yolo counties, which includes the metropolitan of Sacramento. With these additions, Docket Alarm now covers a total of 31 counties in California, bringing us closer to complete coverage in the state.

This expansion brings our total county coverage to over 1,270. Stay updated with Docket Alarm as we continue to expand our coverage.

Explore our complete coverage on our website. For more information or assistance with your subscription, please contact our sales team at

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Docket Alarm is an advanced search and litigation tracking service for the Patent Trial and Appeals Board (PTAB), the International Trade Commission (ITC), Bankruptcy Courts, and Federal Courts across the United States. Docket Alarm searches and tracks millions of dockets and documents for thousands of users.

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