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What is LegalGraph?

LegalGraph is an AI-powered tool designed for the analysis of contracts, allowing both legal professionals and laypersons to swiftly examine complex legal documents and extract vital information from extensive agreements, thereby saving time and resources. In a landscape where law firms and corporate legal departments face constant pressure from tight deadlines and heavy workloads, the conventional practice of manually scrutinizing contracts—a necessary but time-consuming endeavor—can hinder the allocation of time to more strategic pursuits. Acting as a supportive partner, LegalGraph leverages artificial intelligence to streamline the contract review process, enabling legal professionals to focus their efforts on more significant and impactful initiatives. This revolutionary method not only boosts efficiency but also significantly improves the productivity of legal teams, fostering a more effective work environment. Additionally, the adoption of such advanced technology helps to mitigate the risks associated with human error in legal reviews.

What is Inhouse?

Inhouse is an artificial intelligence legal assistance platform that combines automated document preparation, business legal guidance, and access to licensed attorneys. The software is designed to help entrepreneurs, startups, and small businesses manage legal requirements without relying exclusively on traditional law firm engagements. Its AI assistant answers legal questions, explains relevant concepts, and generates recommendations based on information about the user's business. Document drafting capabilities support operating agreements, founders agreements, employment contracts, vendor agreements, data processing agreements, and other common business documents. Users can provide information through guided questions or conversational instructions to generate customized legal drafts. The platform allows users to review and modify generated documents before requesting additional feedback or professional legal assistance. Inhouse provides access to licensed attorneys who can examine drafts, recommend changes, discuss legal issues, and provide guidance on business decisions. Its legal services cover business formation, commercial agreements, fundraising, intellectual property, employment matters, regulatory compliance, and business expansion. The AI assistant can retain business-specific context and store documents to support ongoing legal activities and subsequent interactions. Security capabilities include encrypted conversations, document storage, and confidentiality protections, while attorney-client privilege is available through qualifying engagements with affiliated legal counsel. Inhouse offers multiple service tiers, including free AI guidance, paid document drafting and review features, and an attorney-supported plan with consultations and access to additional legal services.

Media

No images available

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

$90 per month
Free Trial Offered?

Pricing Information

$49/month
Inhouse AI: $49/month
Inhouse Counsel: $149/month
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
Chromebook
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

LegalGraph

Date Founded

2023

Company Location

United States

Company Website

legalgraph.ai

Company Facts

Organization Name

Inhouse.ai

Date Founded

2023

Company Location

United States

Company Website

www.inhouse.ai/

Categories and Features

AI Contract Review

Not specified

AI Legal

Not specified

Contract Analysis

Not specified

Categories and Features

AI Contract Review

Not specified

AI Legal

Not specified

Legal

Not specified

Legal Research

Not specified

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