UnlockedLaw

San Francisco, United States Founded: 2016 • Age: 10 yrs
Uses machine learning to predict case outcomes for legal professionals.

About UnlockedLaw

UnlockedLaw was a Technology company based in San Francisco (United States) founded in 2016 by Sarah Brooks. It operates as an uses machine learning to predict case outcomes for legal professionals. It operates on a B2B model. The company is recorded as dissolved. Its focus areas include Artificial Intelligence, Legal Tech and Case Prediction. Its competitors include Lex Machina, LBox, iur.crowd and Bizapedia; 2 of its 4 listed competitors have raised funding.

Company details

UnlockedLaw, founded in 2016 in San Francisco, United States, focuses on leveraging cutting-edge technology, developing AI-driven solutions, developing legal technology, and case prediction. Uses machine learning to predict case outcomes for legal professionals. The company is dedicated to excellence, innovation, and customer satisfaction, ensuring sustainable practices and long-term success in its sectors.

  • Headquarters San Francisco, United States
  • Founders Sarah Brooks
  • Sectors
    Technology
  • Website unlockedlaw.com
  • Social X
Operational Areas

People of UnlockedLaw

1 people are tracked at UnlockedLaw (1 in leadership).

NameRoleGroup
Sarah Brooks
FounderLeadership
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Competitors of UnlockedLaw

UnlockedLaw has 4 listed competitors in our database, 2 of them funded. They include Lex Machina, LBox, iur.crowd and Bizapedia, among others.

Company NameDomainFoundedHQ LocationTotal fundingEmployeesDescription
lexmachina.com2010Menlo Park, United States$10.17M–
Legal analytics software is provided for data-driven litigation decisions.
lbox.kr2019Daejeon, South Korea$14M–
Legal decision analysis solutions are delivered via an online platform.
iurcrowd.de2021Berlin, Germany––
Legal analytics platform for businesses
bizapedia.com2013Rockford, United States––
Online platform for business searches, data subscriptions, and company information.
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Detailed competitors of UnlockedLaw

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  • Full competitor set
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Top companies in AI in Legal

10 companies that operate in the same segment as UnlockedLaw (AI in Legal), ranked by their profile score on The Company Check.

CompanyDescriptionFoundedLocationTotal fundingRevenueEmployees
AI-based search engine for efficient legal information retrieval.
2018Gurugram, Haryana, India–USD 10.85 M313
Offers AI-based software for contract lifecycle management and compliance processes.
2014Mumbai, Maharashtra, India–USD 201.16 K–
AI-powered tools for immigration law research and drafting are provided.
2020Memphis, Tennessee, United StatesUSD 1.6 M––
Provides mobile app, website, software development, and AI services.
2023Chennai, Tamil Nadu, India–––
Provides litigation funding, data-driven insights, and chatbot for legal disputes in India.
2020Kolkata, West Bengal, India–USD 26.77 K8
AI platform for legal advice, document drafting, background checks, and research tools.
2019Mumbai, Maharashtra, India–––
Provider of online legal assistant
1939––––
Offers AI-powered tools for legal analysis, document processing, and workflows.
2021Bengaluru, Karnataka, India–USD 138.88 K3
Provides AI risk assessment, data privacy, and regulatory compliance expertise.
2011Bengaluru, Karnataka, India–USD 319.5 K4
Delivers cloud and AI-based solutions for legal research management.
2020Panaji, Goa, India–––
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Frequently Asked Questions about UnlockedLaw

UnlockedLaw was founded in 2016.

UnlockedLaw is headquartered in San Francisco, United States. It is registered at San Francisco, California, United States.

UnlockedLaw, founded in 2016 in San Francisco, United States, focuses on leveraging cutting-edge technology, developing AI-driven solutions, developing legal technology, and case prediction. Uses machine learning to predict case outcomes for legal professionals. The company is dedicated to excellence, innovation, and customer satisfaction, ensuring sustainable practices and long-term success in its sectors.

UnlockedLaw's top competitors include Lex Machina, LBox and iur.crowd.

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