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Lawandgood

The startup offers a legal platform that enables retail consumers and businesses to submit requests for proposals, facilitating the comparison of responses from lawyers. This service addresses the challenge of finding tailored legal consultation and representation by streamlining the selection process.

Seoul, South Korea
Updated 2 months ago

Funding

$8.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Finding appropriate legal representation can be a complex and time-consuming process for both individuals and businesses. Comparing qualifications, experience, and fees across multiple lawyers to find the best fit for a specific legal need presents a significant challenge.

Solution

The platform streamlines the process of connecting individuals and businesses with qualified legal professionals. Users can submit requests for proposals (RFPs) detailing their legal needs, which are then distributed to relevant lawyers within the network. This allows users to receive and compare proposals from multiple lawyers, facilitating a more informed decision-making process when selecting legal counsel. The platform aims to simplify legal consultation and representation by providing a centralized hub for matching clients with suitable attorneys.

Target Audience

The primary target audience includes individuals and businesses seeking legal consultation or representation across various legal domains.

Features

  • RFP submission tool for detailing specific legal requirements
  • Lawyer directory with detailed profiles and areas of expertise
  • Proposal comparison interface for evaluating lawyer qualifications and fees
  • Secure communication channel for direct interaction with lawyers
  • Matching algorithm to connect users with relevant legal professionals
This profile is AI-generated and may contain inaccuracies.