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DeepIP

Every DeepIP module is model driven. Drafting turns an invention disclosure into claims, specification and abstract, and the review module checks claims for antecedent basis, dependency gaps and section 101 risk. The prosecution module analyzes rejections and drafts responses with case law citations. Patentability, prior art retrieval, freedom to operate and invalidity analysis map claims against more than 120 million patents and non patent literature, and drawing generation turns sketches and method steps into formal figures.

DeepIP combines an OpenAI model hosted on Azure with proprietary models built for patent work. Without the models, the Word add in has nothing to do.

DeepIP's office action module drafts responses with case law citations from its citation engine, and prior art retrieval ranks references by relevance with the citation shown for each. Freedom to operate and invalidity conclusions link to the claim or prior art text that supports them, and Modern Times Legal's founder describes quoted citations linked to their sources. Retrieval is semantic, across more than 120 million patents and non patent literature.

DeepIP says its models go through testing for factual accuracy with patent expert feedback, but publishes no accuracy figure, test set or error rate.

DeepIP works as an assistant inside Microsoft Word. Drafts, review flags, office action arguments and freedom to operate opinions arrive in the document, where attorneys comment, edit and track changes. The review module marks issues inside the claim text, and freedom to operate and invalidity conclusions link to the claim or prior art text behind them. DeepIP offers trials only to practitioners who draft and prosecute patents, and its terms leave the customer solely responsible for reviewing and validating every output.

Nothing states what a module may complete without an attorney, or where its agentic prior art retrieval stops and hands back to a person.

Nixon & Vanderhye's Corey Hawse reports tasks that took 20 to 30 minutes now taking under five, and gains of 50 percent or more on the tasks where savings are sharpest. Schwegman, Lundberg & Woessner, with more than 100 practitioners, reports focused work rising from four to six hours a day to seven or eight. Philips saw about 20 percent better drafting and prosecution efficiency in a trial and now uses DeepIP for invention analysis, prior art, drafting and office actions.

Dilworth IP chose DeepIP as its primary drafting system after two years of evaluating tools, and Wood IP and Greenberg Traurig are quoted by name. The figures are the firms' own estimates, and the case studies carry no dates. DeepIP reports more than 25,000 applications drafted and 40,000 matters assisted, and $40 million raised through a $25 million Series B announced on 3 March 2026.

All customer data counts as confidential information under DeepIP's terms, which recognize that it may include material covered by attorney client privilege and keep the confidentiality duty on it indefinitely. The terms bar training on customer data, require model providers to keep it confidential and apart from other customers, and set out its destruction after termination. DeepIP lists section 203 of the German Criminal Code, the professional secrecy provision, beside ISO 27001, SOC 2 Type II and GDPR. Users and organizations are kept separate, and no matter level wall within a firm is described.

Not a law firm and not an attorney, DeepIP gives no legal advice, its terms state. Outputs and templates are tools for operational support, not guaranteed accurate, and the customer stays solely responsible for reviewing them and for advising its own clients. No attorney client relationship arises with DeepIP or its staff, including staff with patent backgrounds and the experts who run product sessions. DeepIP offers trials and demos only to practitioners who draft and prosecute patents, and tells inventors to consult patent attorneys. Duties of competence and supervision, and limits by jurisdiction, are not addressed.

DeepIP holds ISO/IEC 42001:2023 certification for its AI management system, listed on its trust center with a 2026 certificate available through an access request. The trust center's controls include board oversight briefings, control self assessments and tested continuity plans. DeepIP says its models go through testing and validation for factual accuracy, with a feedback loop to patent experts, but publishes no test method or result.

No accountable owner for the models is named, and nothing is disclosed about whether output quality differs across technical fields or patent offices.

DeepIP encrypts data in transit with TLS 1.2 or later and at rest with AES 256, restricts access to production systems and databases, and requires multifactor authentication for remote access. Its trust center lists ten subprocessors with their roles and regions. The terms require zero data retention at the model provider and an opt out from provider abuse monitoring wherever the provider offers them. Customer data is stored only in the territories named in the order form and can be exported on request during the term.

It is destroyed within 30 days of a final export, or after termination when no export is asked for within 8 days, with a destruction certificate on request. No incident notification commitment or breach timeline is published.

Under its April 2026 terms, DeepIP warrants professional performance and a service free from reproducible errors against its documentation, with repair, replacement or termination as the remedy. It defends and indemnifies customers against third party claims that the service infringes intellectual property or trade secrets. DeepIP may then procure rights, modify or replace the service, or end the agreement and refund unused prepaid fees.

Liability is capped at the fees paid in the prior 12 months, with confidentiality, intellectual property and indemnity claims outside the cap and consequential damages excluded. DeepIP warrants cyber liability and errors and omissions insurance of at least $5,000,000 per occurrence. The terms disclaim the accuracy of AI output and leave its review to the customer, and free trials carry a $1,000 cap.

Microsoft Word is where DeepIP runs, so drafting, review, office action, freedom to operate and invalidity work happen in the document with comments and tracked changes. DeepIP integrates with docketing and IP management systems and offers a REST API for custom integrations. The prosecution module retrieves USPTO and EPO file documents in one click and indexes them with OCR. No docketing or IP management system is named, and what moves between DeepIP and those systems is not described.

DeepIP reports 20 percent higher adoption and 40 percent higher usage for its embedded approach than for standalone tools.

DeepIP runs as SaaS by default, with an on premises data deployment available through the order form. Customer data is stored and processed only in the territories the order form names, and does not leave them without the customer's written consent. Its cloud hosts, Microsoft Azure and Google Cloud Platform, and its model provider, OpenAI, each run in the United States or the EU. Schwegman, Lundberg & Woessner chose DeepIP after a security review of its Azure deployment in the United States. No architecture or support terms are published for the on premises option.

DeepIP's trust center lists ISO 27001:2022, SOC 2, ISO/IEC 42001:2023 and GDPR. It offers the 2026 ISO 27001 and ISO 42001 certificates, the 2026 SOC 2 Type 2 report and a penetration test through an access request, and shows an engagement letter openly. Its control list covers production access, multifactor authentication, network segmentation, firewall review, background checks and tested continuity plans. DeepIP's security program follows NIST 800-53 Moderate and the NIST Cybersecurity Framework, with outside penetration tests and vulnerability assessments. Auditor names and examination periods sit inside the reports, which open after the access request.

DeepIP uses an OpenAI model hosted on Microsoft Azure, sends no data to OpenAI's own infrastructure, and has Microsoft's abuse monitoring switched off under its Azure agreement. Its terms name OpenAI, Azure OpenAI, Google Cloud Vertex AI, Amazon Bedrock and Azure AI Foundry among the providers it may use. Each must contractually bar training on customer data and keep that data confidential. OpenAI, the language model provider, runs in the United States or the EU. No model or version is named for any module, and the terms commit to no notice when providers change.

DeepIP sells subscriptions by the seat, on monthly or annual terms that renew automatically, and its terms put the fee on the subscription page or an order form. A self service trial opens with a card on file and no charge before it ends. Price rises at renewal need 45 days' notice on annual plans and 20 days on monthly ones, and prepaid fees are not refunded on early exit. No seat price, tier or volume rate is published.

DeepIP serves law firms and in house patent teams, and limits trials and demos to practitioners who draft and prosecute patents; inventors are not offered access. It shapes drafts to the formal rules of the USPTO, EPO, CIPO, CNIPA, DPMA, INPI, IPO, JPO, KIPO and UKIPO, and to PCT filings. Modules run from invention disclosure and patentability through drafting, drawings, review and office actions to freedom to operate, invalidity and portfolio work.

Chemistry and life sciences drafting handles Markush structures, stereochemistry, experimental data and ST.26 sequence listings, with further pages for mechanical, ICT and biology work. DeepIP reports more than 500 law firms and in house teams as customers, across 25 jurisdictions.