GC AI vs Inhouse: how they compare in 2026

Chat answers questions and drafts documents, playbooks run first pass contract reviews, and Contract Intelligence extracts and reconciles terms across a whole portfolio. The Word add in redlines selected clauses or entire agreements, Automations rerun saved instructions on a schedule, and Easy Prompt rewrites a plain request into a detailed legal prompt before it runs. Chats can also draft and send email, build PowerPoint decks and bring earlier conversations back into a new one on request. Requests route across models from Anthropic, OpenAI, Google and xAI, with automatic fallback to another provider when one fails. Complex tasks run through a five step reasoning sequence of scoping, systematic review, pattern tracing, completeness accounting and reconciliation. Cohere's embedding model handles retrieval over uploaded files, and GC AI describes a 20,000 line system prompt tuned for concise, business focused answers. Files, projects, vaults and the skill library hold the material and instructions the models work from. Inside a project, each chat can read the project's files and its sibling chats.

The AI assistant is what a subscriber buys on the Free and Inhouse AI plans. It answers legal questions, drafts nearly any business document from a short request, and reviews documents a user uploads. It will also suggest a better document where one fits, such as an offer letter in place of an employment contract for a new hire. Inhouse calls it an AI associate that learns the user's business and remembers past chats and files. Lawyer time is sold on top, on the Counsel plan or as flat fee work, and the AI draft is the starting point the lawyer reviews. Inhouse describes the models as top performing foundation models refined with feedback from the lawyers who review output.

Answers carry numbered citations that open the source with the quoted passage highlighted, so a lawyer can read the exact text behind each statement. Exact Quote works across uploaded files, web research and the legal databases, and an exported chat can include a citations section listing each quote and its source file. More than 14 million federal and state opinions, supplied by Midpage AI, back the case law answers. Each cited case opens in full in an Opinion Reader, with treatment flags where later history exists. The International Law database links each authority to its official portal, shows how often later decisions cite a case and marks some statutes as in force or not. The Research Agent ranks primary law ahead of secondary sources and uses reference sites such as Wikipedia only for background, never as citations. On GC AI's own In-House Legal Bench of 100 in house tasks, published in May 2026, GC AI passed 86.8% of attorney written criteria, against 79.8% for ChatGPT, 68.4% for Claude and 57.5% for Gemini. Its widest margins came on legal research, regulatory tracking and checklists, and only example tasks and answer keys are released. GC AI tells Word add in users to double check output because hallucinations and errors can occur.

The AI is billed as the most accurate legal AI available, and the Inhouse AI plan is marketed as guaranteed accurate or your money back. No measurement, test set or comparison method sits behind either claim. A quote from the general counsel of Marathon Digital Holdings says Inhouse was the most reliable of several systems compared for contract drafting, with no detail of the comparison. Research answers draw on a knowledge base curated by legal experts that is not described further, and nothing says whether answers link the statutes or cases behind them. The terms and FAQ say the AI can hallucinate, that its output may be inaccurate or out of date, and that a lawyer should review all of it. The money back promise works through a refund request within 24 hours of the service.

Agent Connectors split every app action into read tools and write tools. Reads default to Always allow, while writes and deletes default to Needs approval, so GC AI asks before an email goes out or a record changes. A member can set any tool to Always allow, Needs approval or Block, and each approval card offers Approve, Always approve or Deny, with the draft open for editing first. Admins set each connector to Disabled, Read only or Full access for everyone or for named members. Changes inside GC AI follow the same pattern. Creating, renaming, moving or deleting a project appears as a proposal to approve or deny, and files added from chat wait for approval. Contract Intelligence links an amendment to its parent agreement on its own only when the match is high confidence, and offers the rest as suggestions to confirm or dismiss. Any extracted value can be corrected by hand and later reverted to the AI value with its citations. Stakeholder seats give outside counsel and business partners a restricted vault chat. It answers factual questions about shared contracts and sends questions of legal or commercial judgment back to the legal team. Automations run unattended and deliver each result as a new chat for review, and the services agreement requires the customer to make sure users review output.

The design puts a lawyer after the AI. A user drafts with the AI, then sends the document to a lawyer for review from inside the chat, with attorney review promised in under 24 hours. On the Counsel plan a dedicated lawyer from Inhouse Counsel P.C. oversees the user's AI work. The scope of any attorney task is agreed in writing, and a conflict check runs before work starts. On the Free and Inhouse AI plans no attorney reviews the work. Inhouse describes the AI plan as a self help tool, and its FAQ says all AI output should be reviewed by lawyers. Beyond the terms' advice to consult a licensed attorney when a problem is too complex for the tools, nothing describes what the AI does when a question exceeds it.

Eight customer stories name both the company and the lawyer. Tipalti's senior director of corporate legal reports 609 hours saved year to date. Snyk's senior managing counsel says time on core legal tasks fell by half or more, and Interface's head of compliance estimates major tasks take about half the time. Helix's chief privacy officer says productivity doubled, and Jasper's head of commercial legal says tasks that took an hour now take ten minutes. Arc'teryx, Columbia Sportswear and Viant Technology describe how their teams use the product without figures. Viant's chief legal officer, for example, runs HR and privacy questions through GC AI before deciding whether to call outside counsel. Customer logos in the trust center include Vercel, Wayfair, Bass Pro Shops, Eventbrite and Post Holdings. More than 2,100 legal teams in 53 countries use the product by GC AI's count, over 200 of them public companies, and more than 12 million contracts have been reviewed. A December 2025 ROI study of more than 100 active customers reports 14 hours saved per lawyer each week and outside counsel spend down 14%, while GC AI's FAQ puts that cut at 30%. The story figures are the quoted lawyers' own accounts, and an unnamed Fortune 500 technology company is cited as saving 400 hours a month on NDA review.

The home page counts more than 160,000 businesses served, 7 million legal chats and 10,000 ratings averaging 4.5. It also claims $360M in attorney fees saved in 2026, seven minutes to build a complete document and attorney review in under 24 hours, with no method behind the savings figure. Named users quoted include Ivan Perez, CFO of Concierge MedSpa, Zabi Nowaid, general counsel of Marathon Digital Holdings, and founders of a health platform, a design agency and a consulting firm. One founder, Jacob McDaniel, says an engagement agreement he valued at about $2,500 took around 12 minutes. Another page cites more than 4,000 clients and a network of more than 2,000 lawyers. No case study with dates and measured results is offered.

Section 4.9 of the services agreement bars GC AI from using customer data to train generative AI models, and section 5 binds both sides to confidentiality, with notice before any compelled disclosure. Customer data is logically separated from other customers' data, encrypted with AES-256 at rest and TLS 1.2 or higher in transit, and hosted in the United States. Its privilege guidance centers on United States v. Heppner, the February 2026 Southern District of New York ruling that a defendant's exchanges with a consumer AI tool were not privileged. GC AI points out that the court left room for tools used at counsel's direction under enforceable confidentiality terms. It tells lawyers they can treat GC AI like any trusted cloud tool, such as Google Workspace, Slack or Asana. OpenAI, Anthropic, Google, xAI, Cohere and Reducto process customer content on zero retention terms. Claude Fable 5 is the exception, with Anthropic keeping its data for 30 days, and it stays off until an admin enables it. Users delete inputs and outputs whenever they choose, and an organization's full erasure follows a written request.

Confidentiality depends on the plan. On the Inhouse Counsel plan the user is a client of Inhouse Counsel P.C., and the AI works as the firm's agent. Inhouse says those conversations with the lawyers and the AI are privileged, kept away from marketing and other attorneys, and not used to train AI models. On the Free and Inhouse AI plans the user is not a client, and conversations are confidential under the privacy policy but not privileged. The terms tell those users to use the discretion they would with ChatGPT or Google, and let attorneys and legal partners review their conversations and contact them to offer services. Moving to the Counsel plan does not make earlier chats privileged. Models run inside Inhouse's own AWS account through Amazon Bedrock, conversations are not sent to outside AI labs, and staff and contractors sign confidentiality agreements. Retention is stated only as long as needed.

The product is sold to lawyers for in house legal work, and GC AI states that it does not give legal advice; it helps attorneys and their companies deliver advice more efficiently. The services agreement makes the customer responsible for having users review output and for meeting their own legal, regulatory, professional licensing and fiduciary duties. Exact Quote is presented as support for the lawyer's duty to verify sources. GC AI also quotes New York Formal Opinion 2024-5, which says a lawyer must review all generative AI output, citations included, before using it for a client or a tribunal. Lawyers are pointed to their local bar for current rules. Stakeholder seats keep non lawyers to factual questions about shared contracts and send judgment questions to the legal team. GC AI states that it assists with legal work in every jurisdiction, and users set the governing law in each request.

The terms open with a heading that says Inhouse is not a law firm. Inhouse AI, Inc. provides the technology, legal services come from Inhouse Counsel P.C. and affiliated attorneys, and an attorney client relationship forms only with a firm the user retains. The AI plan is described as a self help tool, and the terms say its legal information is not legal advice and that complex problems need a licensed attorney. Marketing uses advice language. The free tier offers legal advice on any issue from a lawyer trained AI, and the home page promises private legal advice and documents. Questions on foreign law go to United States lawyers only, and a footer on every page repeats which plan's conversations are privileged.

The In-House Legal Bench, published in May 2026, is how the company evaluates its own output. Six R&D attorneys wrote 100 in house tasks across ten categories, with answer keys averaging 12 criteria each. An LLM judge marks each criterion pass or fail, and attorneys reviewed a sample of its verdicts by hand. Pass rates are published by category, from 81.6% on summarizing documents to 91.4% on comparison and benchmarking, and GC AI says the results drive product changes. Claude Fable 5 led every other model in GC AI's suite on a benchmark of 100 demanding in house tasks, by GC AI's account. Admins on Team and Enterprise plans can switch off Anthropic, OpenAI or xAI models for the whole organization, and a settings table records who changed each provider and when. An AI Governance and Risk Management Policy sits in the trust center beside the security, conduct and acceptable use policies, shared on request. Who inside GC AI answers for model behavior is not stated.

No AI governance policy, testing method, accountable owner or disclosure of uneven output is published. Inhouse describes a feedback loop in which reviewing lawyers make the AI more accurate over time, and markets the result as the most accurate legal AI available. How accuracy is measured, and how changes are tested before release, is not described.

Version 4.0 of the data processing agreement, from June 2026, and an information security addendum set the data rules. GC AI processes personal data only on the customer's instructions. After the term ends it deletes all customer data within 30 days of a written request, at downstream vendors too, and clears backups within 90 days. Users can delete inputs and outputs from the app at any time, and data is kept only while the account is active. The subprocessor list names each provider with its purpose, data types and hosting location, and was last updated 18 September 2026. GC AI emails customers before adding or replacing one, allows 30 days to object, and lets the customer terminate if no solution is agreed within 90 days. A confirmed security incident is reported without undue delay, with cause, mitigation and updates as they become available. Sign in runs through WorkOS with SSO over SAML or OIDC, multifactor authentication and organization roles, and custom roles limit what each member can use. Production code is scanned daily for malware, a third party penetration test runs at least once a year, and backups are encrypted and replicated.

One privacy policy covers Inhouse's AI product, its registered agent service and the legal services of its affiliated firm. The AI runs on models hosted in Inhouse's own AWS account through Amazon Bedrock, conversations are not sent to outside AI labs, and chats are encrypted. Personal information is kept for as long as Inhouse needs it for its purposes, legal obligations and business, and Counsel client files follow the firm's retention duties and the engagement letter. Deletion and correction requests are granted at Inhouse's discretion unless the law requires otherwise. No subprocessor list, retention period for chats and documents, or breach notice practice is published. Chats and documents are saved to the user's dashboard.

The self serve services agreement, version 10.0 of 24 September 2026, sets the allocation of loss, and customers buying through an order form sign separate terms. Each party's liability is capped at the fees paid or payable for the affected services in the 12 months before the claim, or $100 if that is greater. Indirect and consequential losses are excluded. Gross negligence, willful misconduct and indemnity obligations sit outside the cap. Against third party claims that the service infringes intellectual property, GC AI defends the customer and pays agreed settlements and awarded damages. The indemnity excludes customer data, connected third party apps, modified output, third party web content and misuse. Its remedies run from securing the right to continue, to replacing the technology, to ending access with a refund of prepaid fees. The warranty covers professional, workmanlike service and a platform that materially performs as documented, with correction or a refund as the remedy. The agreement disclaims output, saying AI accuracy can never be guaranteed and that GC AI has no liability for use of or reliance on output. No insurance is stated.

The terms are governed by California law, with individual arbitration and a 30 day window to opt out. Any liability Inhouse has is limited to the amount paid for the products or services, and users hold Inhouse harmless for indirect, punitive and consequential damage. Inhouse disclaims responsibility for inaccuracy, errors or other defects in AI output, and makes no guarantee about the results of attorneys in its network, who work as independent contractors. The Inhouse AI plan is marketed as guaranteed accurate or your money back. In the terms the remedy is a refund request within 24 hours of the service, plus a prompt refund if an attorney cannot finish work in the advertised time. Network attorneys carry errors and omissions insurance.

About 20 apps sit behind Agent Connectors, among them Gmail, Outlook, Google Drive, SharePoint, OneDrive, Dropbox, Slack, Microsoft Teams, Notion, Confluence, HubSpot, Asana, Linear, GitHub and Granola. Legal workflow systems include Ironclad, Agiloft and Checkbox, along with ServiceNow, Jira and the USPTO. Each member connects through OAuth, and GC AI acts only with that member's existing access in the source app. For Microsoft 365, GC AI publishes every delegated Graph permission it requests, from Mail.Send to Sites.ReadWrite.All, with the feature each one serves and why it needs that level. Checkbox, ServiceNow, Google Workspace and the USPTO have their own setup guides covering keys, OAuth apps and admin approval. Contract Intelligence syncs vaults from Google Drive, SharePoint, OneDrive, Dropbox or Ironclad, picking up new files every 15 minutes, with import rules and manual resync. The Word add in installs from AppSource or an XML manifest. A REST API, an MCP server for ChatGPT, Claude and Cursor, and the gcai command line tool expose chats, files, projects, playbooks, skills and vaults, with inference capped at 60 requests a minute per organization. A machine client such as Salesforce Agentforce can reach the MCP server with OAuth client credentials. No connector reaches iManage or NetDocuments.

The product is a standalone web app with a personal dashboard for chats and documents, plus a GPT in the ChatGPT store. A comparison with law firms describes the AI as connected to your systems, but no connection to email, document storage, electronic signature, accounting or business software is named.

The service runs on Google Cloud, with Vercel hosting the application and Cloudflare routing traffic. Each organization's data is logically separated, with its own access controls and encryption. Under the data processing agreement, customer personal data is hosted in the United States at all times, and GC AI states that all of its servers are in the United States. Every subprocessor, model providers included, lists the United States as its hosting location. Processing may happen elsewhere. The agreement lets GC AI and its subprocessors process personal data wherever they operate when needed to provide the service, with transfers covered by the Data Privacy Framework or standard contractual clauses. The United States is the only hosting location offered, on every plan.

The service is hosted. Models run inside Inhouse's own Amazon Web Services account through Amazon Bedrock, and chats and documents stay on Inhouse servers rather than going to outside AI labs. The AWS region, the tenancy model and where data is processed are not stated, and no private deployment option appears on the plans.

SOC 2 Type II certification, renewed through annual audits, sits alongside a SOC 3 report and a SOC 2 Type I report. GC AI's SafeBase trust center holds the SOC reports, a penetration test summary and policies covering AI governance, acceptable use, anti bribery and conduct. Documents are released through an access request, under a nondisclosure agreement. The information security addendum commits to third party penetration testing of a representative instance at least once a year, vulnerability ranking with CVSS and daily malware scanning of GC AI managed code. Business continuity plans are reviewed each year, and staff with access to customer data are background screened and trained on hire and annually. The reports themselves are released only through that request.

Security fit for enterprises, encrypted chats and confidentiality agreements for staff and contractors are promised. No security certification, independent audit, trust center or security page is offered.

Anthropic's Claude family, OpenAI's models, Google's Gemini and xAI's Grok handle chat and analysis. Cohere's embedding model powers retrieval over files, and Reducto parses documents. Requests go to the model best suited to each task and fall back across providers during an outage, and users do not choose a model. Each provider appears on the subprocessor list with zero retention and United States hosting. Claude Fable 5 is the exception, since Anthropic keeps its data for 30 days for safety work, and it stays off until an admin accepts those terms. Admins on Team and Enterprise plans can switch off Anthropic, OpenAI or xAI, with each change logged by person and time, while Gemini cannot be switched off. Before adding or replacing a subprocessor, GC AI emails customers and gives them 30 days to object.

The platform is named but not the models. The AI runs on foundation models hosted in Inhouse's own AWS account through Amazon Bedrock, so prompts stay inside its cloud account rather than going to outside AI labs. Those foundation models are not trained on conversations. Which Bedrock models are in use, and whether users are told when they change, is not stated. The system is refined with feedback from the lawyers who review output.

An individual seat costs $500 a month, billed monthly or yearly by card, and can be bought without a sales call after a 14 day free trial. GC AI says individual pricing is standard and not negotiable. The seat includes unlimited chats and skills, the Word add in, Easy Prompt, analytics on usage and time saved, AI Academy and CLE courses, and the Slack community. Team plans are annual and priced on request, with enterprise SSO, a team skill library, Contract Intelligence, shared chats, solutions attorney support and one legal database. Enterprise pricing is custom. On individual seats, the case law and international law databases are add ons at an unpublished price, each with a one time 30 day trial. API and other usage based features draw on prepaid credits, priced in the platform at purchase and pooled across the organization. Credits expire at the end of the term, usage stops when they run out, and nothing is billed in arrears. Fees are non refundable and renew at the current published price.

Prices are on the home page and in the FAQ, monthly and with no fees. Free answers legal questions and stores documents. Inhouse AI is $49 a month for unlimited drafting, editing and review of documents, with more messages and uploads. Inhouse Counsel is $149 a month and adds lawyer time to finalize AI work, along with privileged AI conversations and discounted member rates. That lawyer time is a monthly consultation in the plan table and an hour of lawyer time in the FAQ. Specialist attorneys from the network bill at 50% off their standard rate, and flat fee work is scoped in writing before it starts. Plans can be cancelled at any time, and fees can rise on 30 days' notice before a renewal.

In house legal departments are the only market, from solo and fractional general counsel on the individual plan to enterprise legal teams. Customers range from startups to Fortune 500 companies across technology, finance, retail and apparel, manufacturing and healthcare, including Hitachi, Vercel, Snyk, Tipalti, Gusto, Arc'teryx, Columbia Sportswear and Wayfair. The named work runs from commercial contracts, NDAs, DPAs and MSAs to privacy, employment, corporate governance, board materials, regulatory research and portfolio contract review. Ready made playbooks cover NDAs, DPAs and MSAs for SaaS and for commercial use. A playbook run can take the deal stage into account when it suggests fallback language, and it works on drafts that carry tracked changes from earlier rounds. Generalist in house lawyers are the best fit, GC AI says, and it will recommend other platforms to specialized practices. Some teams, it notes, keep a traditional research seat for exhaustive litigation research. The legal databases cover United States federal, state and specialized courts and more than 30 jurisdictions in Europe, Asia Pacific and Latin America.

The product is built for business owners, operators and founders, with personal pages for individuals on debt, consumer disputes, employment, earn outs and housing. Business coverage spans formation, contracts and negotiation, employment and HR, fundraising, intellectual property, compliance, growth and disputes, with playbooks and document pages for each. The AI is tuned to United States business law. Lawyers at Inhouse Counsel are licensed in California, Michigan and New York and serve clients in all 50 states on core needs such as formation, contracts and strategy. They specialize in contracts, corporate governance, employment, compliance and commercial matters, and specialists from the network take other work. Litigation and matters outside the United States are not set out as covered.