InHouse

What InHouse does

Inhouse (legal entity: Inhouse AI, Inc.) is an AI-native legal technology company founded in 2024 and headquartered in Los Angeles. The company operates a self-serve SaaS platform that combines a proprietary AI trained on expert lawyer playbooks with access to a nationwide network of more than 8,000 licensed attorneys covering all 50 U.S. states, plus its own affiliated law firm, Inhouse Counsel PC, staffed by former in-house counsel at top companies. The platform is built around an agentic AI architecture that goes beyond reactive Q&A to proactively monitor documents, due dates, and external risk signals across the contract lifecycle.

The product surface spans contract drafting and review (MSAs, employment agreements, offer letters, founder vesting agreements, vendor contracts, software licensing agreements, and statements of work), compliance workflow automation, and proactive risk management. The AI is trained on lawyer-developed playbooks and continuously refined through a human-in-the-loop verification process in which Inhouse's attorneys review AI output, generating feedback data that improves subsequent generations of the model. Per company disclosures, the platform has handled more than 7 million legal tasks and serves over 100,000 active business users across 4,000+ companies, and it holds the #1 Legal GPT ranking on OpenAI's platform with a 4.5-star rating across more than 10,000 user ratings.

Inhouse sells primarily to small and midsize businesses via a product-led growth motion with a three-tier pricing structure: a free Advice tier, a $49/month Unlimited Documents tier, and a $149/month Lawyer-Backed tier that includes one hour of attorney time per month with a 100% money-back guarantee. Go-to-market is fully self-serve through platform.inhouse.ai, with no channel partners or field sales. In February 2026 the company closed a $5 million seed round co-led by Run Ventures and Royal Street Ventures with participation from Switch and Brian Liu, co-founder of LegalZoom, capital it intends to deploy toward expanding agentic AI capabilities across the full contract lifecycle.

Name

InHouse

Legal name

Inhouse AI, Inc.

Website

https://inhouse.so

Company type

Private

Founded year

2024

Operating status

Operating

Headcount range

11–50 employees

Short description

Inhouse (Inhouse AI, Inc.) is an AI-native legal platform that combines lawyer-trained AI with a network of 8,000+ attorneys across all 50 U.S. states to help small and midsize businesses draft, review, and manage contracts through a self-serve subscription product.

Ownership category

akta.pro rank

Headquarters

HQ city

Los Angeles

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Operations, Infrastructure

Revenue model

1. Subscription SaaS: Three-tier subscription model: Free advice tier, $49/month for unlimited documents, and $149/month for lawyer-backed service with 1 hour of lawyer time included. Recurring monthly subscription revenue with upgrade/downgrade flexibility.
2. Freemium Entry Tier: Free tier provides instant answers on any legal question from lawyer-trained AI with no credit card required. Acts as lead generation for paid tiers.

Pricing tiers

Go-to-market motion2 records

Distribution channels1 record

Marketing channels4 records

Core offering

InHouse provides an AI-powered legal platform for small and midsize businesses that drafts, reviews, redlines, and edits legal documents such as MSAs, employment agreements, vendor contracts, and founder vesting agreements. The platform combines proprietary AI trained on expert lawyer playbooks with a network of more than 8,000 licensed attorneys for seamless human handoff on complex matters. It is offered through a free advice tier plus paid monthly subscriptions that include unlimited document drafting and bundled lawyer hours.

Product overview

Inhouse offers a unified AI legal platform for small and midsize businesses consisting of the core Inhouse AI platform combined with on-demand lawyer services (Inhouse Counsel). The platform is available through three pricing tiers: a free Advice plan for instant AI answers, a $49/month Unlimited Documents plan for drafting and reviewing legal documents, and a $149/month Lawyer-Backed plan that adds professional attorney review hours. Additional capabilities include contract lifecycle management, compliance workflows, and proactive risk management through AI agents. The AI is built on proprietary expert lawyer playbooks and integrates with a nationwide network of licensed attorneys including Baker Hostetler, Morgan & Morgan, and Imhoff & Associates.

Differentiator

Problem solved

Functional benefit

Products and services

• Inhouse AI Platform Core AI legal assistant platform that provides instant AI documents, redlines, and legal Q&A for small and midsize businesses, combining proprietary lawyer-trained AI with access to human attorneys for verification and finalization.
• Legal AI Agent Agentic AI capability within the InHouse platform that moves from reactive responses to proactive monitoring of documents, due dates, and internet risks, automating contract lifecycle management, compliance workflows, and proactive risk management for SMB customers.
• Inhouse Counsel Lawyer-on-demand service provided through InHouse's own affiliated law firm, staffed by former in-house attorneys at top companies, enabling seamless human review, contract negotiation, and finalization of AI-generated legal work.

Quantifiable outcome

• Saves thousands in legal fees per customer by avoiding law firm hiring for routine legal tasks like MSA redlines
• +1 more outcomes

Named customers3 records

Segments1 record

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability5 records

Feature4 records

Partnerships

Three partnerships are on record, tiered minor.

• Baker HostetlerminorStrategic or Co-development PartnerMajor law firm within InHouse's attorney network, enabling access to enterprise-level legal expertise when needed.
• Morgan & MorganminorStrategic or Co-development PartnerLarge law firm in InHouse's network of affiliated attorneys providing legal services through the platform.
• Imhoff & AssociatesminorStrategic or Co-development PartnerLaw firm partner in InHouse's attorney network supporting the nationwide legal service offering.

Scale indicators7 records

Recent moves6 records

Expansion highlights6 records

Emerging players

• EvenUp: AI legal tech company focused on personal injury and plaintiff law firm workflows. Emerging peer demonstrating how AI legal products can be verticalized and sold to non-lawyer end users via firm networks, a model adjacent to Inhouse's SMB legal AI approach.

Broad incumbents

• Thomson Reuters CoCounsel (formerly Casetext): AI legal assistant from Thomson Reuters (built on the Casetext acquisition) used by lawyers and legal departments for research, drafting, and analysis. Incumbent legal AI peer with the distribution and trust advantages of a major legal information provider.
• LegalZoom: Incumbent consumer/SMB legal services platform offering document preparation, registered agent services, and attorney access. Direct overlap with Inhouse on SMB legal document drafting and lawyer-on-demand, with a much larger brand and product breadth. Particularly relevant given LegalZoom cofounder Brian Liu is an Inhouse investor.
• Ironclad: Digital contracting platform with AI-powered contract lifecycle management for in-house legal teams. Comparable on the contract-management and AI-redline capabilities Inhouse is expanding into, but oriented toward enterprise legal departments rather than SMBs.
• ContractPodAi: AI-powered contract lifecycle management platform serving enterprise legal teams. Comparable to Inhouse's stated CLM expansion roadmap, though focused on large organizations rather than SMBs.

Direct peers

• Spellbook: AI-powered contract drafting and review assistant built on top of foundation models for legal professionals. Closest direct competitor to Inhouse on AI contract drafting and redlining, though Spellbook primarily targets lawyers rather than end-business customers.
• Harvey: AI legal platform for law firms and in-house teams using foundation models for legal research, drafting, and analysis. Highly relevant peer for Inhouse on AI legal capability, though Harvey targets professional legal users and large enterprises rather than SMBs.
• Rocket Lawyer: Online legal services platform offering document templates, attorney consultations, and subscriptions targeted at SMBs and individuals. Direct competitor on SMB legal document drafting, attorney access, and subscription pricing model.
• LawDepot: Online legal document preparation service providing templates for contracts, agreements, and forms for SMBs and consumers. Direct competitor on self-serve legal document creation for SMBs, though with a primarily template-based (non-AI-first) product.

Others

• Glean: Enterprise AI search and knowledge management platform. Adjacent infrastructure peer illustrating the broader AI-for-business category where Inhouse competes for attention, partnerships, and enterprise budgets.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/inhouseai

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Funding overview

Funding rounds2 records

Investors3 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about InHouse