DeepIP

AI Centrality

How much of the product is actually AI. Whether the machine learning is the mechanism the buyer is paying for or a feature layered onto conventional software, and whether the vendor is specific about which is which.

The models are the product and the Word add-in is only the delivery surface. The vendor states proprietary generative models fine tuned for patent law, custom models trained on patent data to reduce errors and to mimic previously successful filing styles, and agentic AI handling complex multi step tasks across drafting and portfolio analysis. Founders are described as having built AI systems for Airbus, IBM and SAP before this, so the model work is the founding competence rather than an added capability. Every function is generated or model driven: drafting, office action response suggestions, prior art surfacing, patentability analysis, style matching and portfolio insight. Remove the models and what remains is a Word sidebar with nothing in it. Third consecutive A on this axis in ip-and-patents, and the category now matches the plaintiff pattern at three for three.

Citation Accuracy and Hallucination Disclosure

Whether the vendor publishes measured accuracy on citations and assertions, grounds output to primary sources, and says plainly what its system does when it does not know. Legal has a documented public record of fabricated citations reaching filed briefs, so an untested claim of accuracy is not evidence.

Error reduction is claimed repeatedly and no grounding mechanism or measurement is published. Stated: custom models trained on patent data reduce errors, the platform is engineered to reduce errors and support legal rigor, and relevant prior art is surfaced automatically. Those are claims about outcome rather than descriptions of architecture, and nothing located describes how a generated passage is tied to a source, whether citations to prior art or case law are produced, or whether a user can trace an assertion back. No accuracy figure, no evaluation, no hallucination disclosure and no confidence signal were located. Recorded against the record rather than glossed: an independent three month review of this product states that an AI hallucination issue exists and is manageable with proper review processes. That is a third party observation rather than a vendor disclosure and is not credited as one, and it is noted here because the vendor addresses the risk nowhere. Compare Solve Intelligence at B in this category for publishing a continuous human evaluation methodology, and Patlytics at B for colour coded confidence indicators.

Autonomy and Oversight Model

What the system decides on its own, what a lawyer must approve, and whether the vendor documents where the review point sits. A tool that drafts under review and a tool that files without one are different products and different risks.

A clear positioning statement sits alongside an autonomy claim and neither is reconciled. The vendor states that its tools are designed to augment attorney capabilities rather than replace them and are built through continuous feedback from leading IP firms, which is the right posture. It separately states that its agentic AI takes on complicated multi step jobs, whether drafting patents or extracting insights from an entire portfolio, and that it manages office action deadlines and generates response suggestions. Deadline management on a prosecution docket is an area where an unattended error has consequences that cannot be undone. Nothing published reconciles the two: no statement of what an agent may complete without attorney approval, no confidence threshold, no escalation behaviour, and no description of what review the vendor expects before a generated response is filed. Held at C on that basis, with the observation that a product embedded inside Word places the attorney at the point of authorship structurally, which is oversight by architecture rather than by published policy.

Operational and Outcome Evidence

Named, dated evidence that the product works in production at real firms or legal departments. Case studies with figures and identified customers count. Unattributed testimonials and launch announcements do not.

Company evidence is dated and specific, and no customer is identifiable. Checkable: $40m total funding across a $15m Series A announced March 2025 led by Resonance with Headline, Serena Capital and Balderton Capital participating, and a $25m Series B announced 2 March 2026; named founders with named prior employers; a named chief technology officer quoted describing the product architecture. Traction figures are unusually concrete for an early company: more than 8,500 applications supported and seven figure revenue within seven months of launch. Customer evidence is present but anonymous: a trial period quote reporting approximately 20 percent efficiency improvement in drafting and prosecution, and a security due diligence quote describing evaluation of the Azure deployment and certifications, neither attributed to a named firm or individual. An independent three month review reports 40 to 60 percent reduction in initial drafting time across patent types. Held at B rather than A because no customer is named anywhere in located vendor material, which is the difference between this record and Solve Intelligence at A in the same category.

Privilege and Confidentiality Posture

How client confidences are handled: attorney client privilege and work product treatment, segregation of one client matter from another, whether client data trains any model, and what the vendor commits to in writing rather than in marketing.

A coherent confidentiality set with one element no competitor offers, and no engagement with privilege as a professional concept. Published: SOC 2 Type II and ISO 27001 certification, GDPR compliance, a strict Zero Data Retention policy, complete data segregation, encrypted storage and end to end encryption, deployed on Microsoft Azure. The element that distinguishes this record is on premise deployment, which is graded on the Deployment axis and matters here because it is the only published answer in this category to a firm that cannot let an unpublished application leave its own infrastructure at all. A customer quote describes conducting extensive due diligence on the security infrastructure before selection, which indicates the claims survive procurement scrutiny. What is absent: no treatment of attorney client privilege or work product, no reference to the professional confidentiality obligation, and no acknowledgement that an unpublished application carries consequences beyond ordinary data sensitivity. Compare Patlytics at A and Solve Intelligence at A in this category, both of which engage the professional dimension directly.

UPL and Professional Responsibility Posture

Whether the vendor is clear that it supplies a tool rather than legal advice, who its audience is, and how it addresses unauthorized practice of law, competence and supervision duties, and jurisdiction limits. ABA Formal Opinion 512 is the reference point.

Not located. The product drafts patent applications and generates office action responses filed under a registered practitioner's signature, and it manages prosecution deadlines, all of which engage the duty of competence and the practitioner's responsibility for filed work. The vendor states its tools are designed to augment attorney capabilities rather than replace them, which is a product positioning statement and not a professional responsibility position. No reference to USPTO Rules of Professional Conduct, 37 CFR, duty of competence, or any bar or patent office guidance was located. Checked the home page, the law firm solution page, the product pages, the blog including the drafting guide, and the funding announcements on 29 Aug 2026. Compare Patlytics at B in this category, which names the specific rules directly.

AI Governance and Bias Disclosure

Published governance over model behaviour: who owns it inside the vendor, what is tested before release, and what is disclosed about disparate output across matter types, parties, or populations.

Nothing published about how the models are governed, evaluated or monitored. No AI policy, no model card, no bias or fairness testing, no evaluation methodology or result, no accuracy monitoring, no drift statement, no named governance body, no ISO 42001 and no EU AI Act positioning were located, the last being notable for a company with substantial operations in Paris and a stated European customer base. The vendor's own published guidance on evaluating AI patent drafting software tells buyers to look for versioning and audit trails for internal review and compliance, which engages traceability without addressing model governance. This is the weakest governance position of the three ip-and-patents records built: Patlytics holds an ISO 42001 certificate and Solve Intelligence publishes a continuous evaluation process and an EU AI Act self classification. Checked the home page, the solution pages, the blog library and the funding announcements on 29 Aug 2026.

AI Safety and Data Stewardship

Retention, deletion, access control, and what happens to prompts and documents after they are processed. Whether the vendor states its subprocessors and its incident practice, or leaves the buyer to assume.

A strong and repeatedly stated retention position, with the training question left to inference. Published consistently across the funding announcements, the law firm solution page and independent coverage: a strict Zero Data Retention policy, complete data segregation, encrypted storage, end to end encryption and GDPR compliance, hosted on Microsoft Azure with a customer quote referencing United States based Azure servers. Zero data retention is the strongest retention posture available and it is stated plainly rather than hedged. What is not stated plainly is model training. The vendor's own comparison content lists zero data retention policies that guarantee client data is never used to retrain models among the criteria it prioritised when assessing tools, which is criteria language applied to a field rather than a commitment made about itself, and the distinction is recorded on the signal row. Held at B rather than A on that gap and because no retention default, deletion right or scope boundary is published for data held in the platform as distinct from the model layer.

AI Liability and Recourse

What the vendor stands behind contractually when its output is wrong. Indemnities, caps, carve outs, insurance, and whether any of it is published or only reachable through a negotiated agreement.

No published position located. Nothing was found on liability for AI output, warranty, service levels or remedy. The exposure profile is the category's own and is sharpened by one product feature: office action deadline management. A missed statutory deadline in prosecution can result in abandonment of an application, which is a consequence no review step recovers, and no published service level or liability position addresses it. The drafting exposure is equally severe, since claim scope lost at grant is permanent. Checked the home page, the law firm and corporate solution pages, the product pages and the site navigation on 29 Aug 2026. Enterprise agreements govern this and are not public.

Practice Systems Integration Depth

How deeply the product reaches into the systems legal work already lives in: document management such as iManage and NetDocuments, Word and Outlook, contract lifecycle management, matter management, e-billing, and court filing systems.

THE BEST INTEGRATION POSITION IN THIS CATEGORY, and it closes the gap that held both peers at D. Native Microsoft Word integration is the core architectural decision rather than a connector: the product runs as a Word add-in so attorneys draft, edit and validate inside the environment they already work in, and independent comparison material treats this as the distinguishing feature against browser based competitors. Beyond Word: stated integration with leading IP management platforms, which is the docketing and portfolio layer a prosecution practice actually runs on and which neither Patlytics nor Solve Intelligence names at all, and a documented API for custom integrations, with the Series B announcement stating an intention to extend API capabilities for partner ecosystem developers. The vendor also frames integration as a traceability argument, stating that workflow integrations preserve audit trails by design where legacy tools require manual exports that erode traceability. Held at B rather than A because no IP management platform is named individually, so a firm cannot confirm its own docketing system is supported, and no API documentation was reached in this pass.

Deployment Model and Data Residency

Where the software runs and where the data sits. Multi tenant cloud, single tenant, private deployment, on premises, and whether region of residence is a published option or an enterprise conversation.

ON PREMISE DEPLOYMENT, which no other record in this category offers and which is the only complete answer to the confidentiality problem this category has. The vendor states it is the sole patent drafting solution offering both cloud based and on premise deployment. For a firm or corporate IP department that cannot let an unpublished application leave its own infrastructure, whether because of a client mandate, a foreign filing licence constraint or an export control regime, cloud residency selection is a mitigation and on premise is an answer. Cloud deployment is also specified rather than gestured at: Microsoft Azure is named as the host, with end to end encryption, and a published customer quote references United States based Azure servers assessed during security due diligence. Graded A because naming the host and offering an on premise option together exceed the customer selectable cloud residency that earned Solve Intelligence an A in this category, on the dimension that matters most for unpublished material. Held short of perfection because the only solution claim is a competitive assertion by the vendor about its rivals, no on premise architecture or support detail is published, and no region list is given for cloud customers.

Security Certifications and Trust Center

Independent attestation a buyer can pull without a sales call: SOC 2, ISO 27001, penetration test summaries, a trust center with current reports and named scope rather than a badge image.

Two certifications stated consistently and nothing evidencing them. SOC 2 Type II and ISO 27001 are claimed across the home page, the law firm solution page, both funding announcements and independent coverage, with GDPR compliance alongside, and the consistency of the claim across dated press releases is itself worth something since a false certification claim in a funding announcement carries more consequence than one in marketing copy. A published customer quote states that the certifications and the Azure deployment were assessed in extensive security due diligence, which is third party corroboration that the claims survived a buyer's review. Held at B rather than A on the familiar absences: no auditing firm is named, no examination period, scope or certificate date is published so currency cannot be established, and no trust centre, security page or self serve documentation request route was located. Under the three tier test the artifact is absent rather than gated. Calibration in this category: Patlytics reaches A on three certifications with named penetration testing partners published open, Solve Intelligence sits at B after its certification language was read against its own detailed page, and this record sits at B on two consistently stated certifications with no route to either.

Model Supply Chain Disclosure

Which models sit underneath, whose they are, where they run, and whether the vendor commits to telling customers when that changes. A legal buyer inherits every dependency it cannot see.

The composition of the stack is described in unusual terms and no party is named. The vendor states that the platform uses a combination of proprietary models, third party tools and exclusive data access, which is a three part disclosure acknowledging that external components and privileged data sources both exist. Naming the existence of exclusive data access is uncommon and is a real disclosure about the supply chain rather than about the models alone. What is missing is identity on every limb: no foundation model provider, model family or version is named, no third party tool is identified, no subprocessor list was located, and the exclusive data access is not attributed to any source. Recorded and deliberately not credited as a supply chain fact: an investor in the Series A is associated with a foundation model company, and an investment relationship is not a processing relationship. Compare Onspring at B for naming its provider outright, and Solve Intelligence at B for disclosing the structure with customer controls attached.

Commercial Transparency

Whether a buyer can learn what this costs without entering a sales process: published rates, the unit being charged, what sits behind an enterprise tier, and what implementation adds.

No pricing published at any level. No price, no range, no tier structure and no unit of charge, and no indication of whether cloud and on premise deployment price differently, which is a material question given the vendor presents on premise as a differentiator. An independent three month review states that the pricing concern is real while advising that productivity gains typically justify the investment, which is a reviewer characterising cost without publishing a figure and is recorded as context rather than credited. Every route is a contact or demo request. Checked the home page, the solution pages, the pricing navigation and independent review material on 29 Aug 2026.

Firm and Practice Coverage

Who the product is actually built for. AmLaw, midlaw, small firm and solo, in house departments, government and courts, and which practice areas are supported rather than merely claimed.

THE FIRST RECORD IN THIS CATEGORY TO NAME PATENT OFFICES, which is the coverage question a prosecution practice actually asks. Multi office filing support is stated across the USPTO, EPO, CNIPA, PCT and KIPO among others, with the vendor stating that language and format are adapted to each jurisdiction's standards, and drafting output is matched to the user's jurisdiction as well as their style. Naming the offices lets a practitioner check whether their own filing route is supported, which no other record in this category permits. Technical domain coverage is enumerated across life sciences, chemistry, biotech, pharma, materials and software intensive systems, with the specific artifacts named that determine whether a tool is usable in those fields: Markush structures, sequences, drawings and experimental data. Buyer coverage spans law firms and corporate IP departments with published material addressing invention harvesting, patentability, portfolio pruning, competitive intelligence, prosecution and freedom to operate. Graded A because coverage is stated at the level a buyer verifies against their own docket. Held short of perfection because no prior art corpus scope, date range or update lag is published for the search side.