What is the main difference between &AI and DeepIP?

The core difference is architecture. &AI is built around an autonomous agent that plans and executes multi-step tasks across prosecution and litigation, returning outputs for attorney review. DeepIP embeds an AI assistant inside Microsoft Word and supports the prosecution lifecycle — drafting, office-action responses, and portfolio work — within the document workflow attorneys already use.

Does &AI or DeepIP cover patent litigation?

&AI is designed to work across both prosecution and litigation, including prior art search, claim charts, and invalidity contentions used in litigation and due diligence. DeepIP focuses on the prosecution lifecycle — invention capture, drafting, office-action responses, and portfolio intelligence — rather than litigation workflows.

Which tool is better for patent drafting?

Neither is universally better; they fit different workflows. DeepIP is built for document-first drafting inside Microsoft Word, with AI suggestions inline. &AI approaches drafting as part of broader agent-driven tasks such as claim charts and office-action responses. Teams that draft primarily in Word may find DeepIP's environment a closer fit, while teams wanting agent-delegated multi-step work may prefer &AI.

How do &AI and DeepIP handle data security?

DeepIP publishes ISO 27001, SOC 2 Type II, and HIPAA certifications and states that it does not retain client data or use it for model training, encrypting data in transit and segregating customer data. &AI emphasizes grounded outputs with verifiable citations and attorney oversight; firms handling confidential invention disclosures should review each vendor's current security documentation directly before adoption.

Are &AI and DeepIP mature, proven products?

They are at different stages. DeepIP has raised $40M, reports powering more than 10,000 patent applications, and lists established firms and corporate IP teams among its users. &AI is an earlier-stage, Y Combinator-backed product; as an early agentic tool it is best evaluated against your own matters with attorney review of all agent-generated work.

&AI vs DeepIP: Agentic Patent Workflows vs Word-Native AI Drafting

&AI delegates multi-step prosecution and litigation tasks to an autonomous agent across prior art, claim charts, and invalidity work; DeepIP embeds AI drafting and office-action support directly inside Microsoft Word for the patent lifecycle. &AI is an early-stage, YC-backed agentic product; DeepIP has raised $40M and publishes ISO 27001, SOC 2 Type II, and HIPAA certifications.

Last reviewed: 2026/06/18

&AI and DeepIP are both AI platforms built for patent professionals, but they take different architectural approaches to the same lifecycle. &AI centers on an autonomous agent — "Andy" — that plans and adjusts multi-step tasks on its own, working across patent prosecution and litigation on prior art search, claim charts, invalidity contentions, and office action responses. DeepIP takes a workflow-native approach: its AI assistant lives inside Microsoft Word and supports invention capture, drafting, office-action responses, and portfolio work in the document-centric environment patent attorneys already use. This comparison looks at how each tool's design, scope, maturity, and security posture map to different ways patent teams work — so you can match the tool to your workflow rather than the other way around.

&AI

Agentic AI for patent attorneys — prior art, claim charts, and office actions.

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DeepIP

Word-native AI patent assistant for drafting, prosecution, and portfolio work.

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5-Dimension Scorecard

&AIReview pending

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DeepIPReview pending

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Scores 1–5 with 0.1 precision. Bars highlight the higher score per dimension. Some scores pending hands-on review.

Key differences

Architecture: &AI is built around an autonomous agent (Andy) that plans multi-step workflows and decides which tools and sources to use; DeepIP embeds an AI assistant inside Microsoft Word, anchoring to a document-first workflow.
Scope: &AI spans both prosecution and litigation — prior art search, claim charts, invalidity contentions, and office action responses; DeepIP focuses on the prosecution lifecycle, from invention capture and drafting through office-action responses and portfolio work.
Interaction model: &AI delegates whole tasks to an agent and returns grounded outputs with citations for attorney review; DeepIP keeps the attorney working in Word with inline AI suggestions.
Maturity and backing: &AI is an early-stage, Y Combinator-backed product (a $6.5M seed led by First Round); DeepIP has raised $40M total, including a 2026 Series B, and reports powering more than 10,000 patent applications with named firm and corporate users.
Security signals: DeepIP publishes ISO 27001, SOC 2 Type II, and HIPAA certifications and states it does not retain client data or use it for training; &AI emphasizes grounded outputs with verifiable citations and attorney oversight of agent work.

Pricing

&AI: &AI does not publish pricing publicly; the platform is available at tryandai.com and is typically evaluated through direct contact with the vendor against a firm's own matters. DeepIP: DeepIP does not publish pricing publicly and offers a trial; pricing is quote-based and arranged directly with the vendor.

When to pick &AI

Choose &AI if you want an autonomous agent to take on multi-step research and document-assembly tasks across both prosecution and litigation — prior art searches, claim charts, invalidity contentions, and office action responses — and you are comfortable evaluating an early-stage agentic product against your own matters with attorney review of every output.

When to pick DeepIP

Choose DeepIP if your team works document-first in Microsoft Word and wants AI drafting and office-action support embedded in that environment, backed by published security certifications (ISO 27001, SOC 2 Type II, HIPAA) and a track record across established firms and corporate IP teams.

Frequently Asked Questions

What is the main difference between &AI and DeepIP?: The core difference is architecture. &AI is built around an autonomous agent that plans and executes multi-step tasks across prosecution and litigation, returning outputs for attorney review. DeepIP embeds an AI assistant inside Microsoft Word and supports the prosecution lifecycle — drafting, office-action responses, and portfolio work — within the document workflow attorneys already use.
Does &AI or DeepIP cover patent litigation?: &AI is designed to work across both prosecution and litigation, including prior art search, claim charts, and invalidity contentions used in litigation and due diligence. DeepIP focuses on the prosecution lifecycle — invention capture, drafting, office-action responses, and portfolio intelligence — rather than litigation workflows.
Which tool is better for patent drafting?: Neither is universally better; they fit different workflows. DeepIP is built for document-first drafting inside Microsoft Word, with AI suggestions inline. &AI approaches drafting as part of broader agent-driven tasks such as claim charts and office-action responses. Teams that draft primarily in Word may find DeepIP's environment a closer fit, while teams wanting agent-delegated multi-step work may prefer &AI.
How do &AI and DeepIP handle data security?: DeepIP publishes ISO 27001, SOC 2 Type II, and HIPAA certifications and states that it does not retain client data or use it for model training, encrypting data in transit and segregating customer data. &AI emphasizes grounded outputs with verifiable citations and attorney oversight; firms handling confidential invention disclosures should review each vendor's current security documentation directly before adoption.
Are &AI and DeepIP mature, proven products?: They are at different stages. DeepIP has raised $40M, reports powering more than 10,000 patent applications, and lists established firms and corporate IP teams among its users. &AI is an earlier-stage, Y Combinator-backed product; as an early agentic tool it is best evaluated against your own matters with attorney review of all agent-generated work.

Our take

&AI and DeepIP solve overlapping problems with different philosophies: &AI delegates multi-step prosecution and litigation tasks to an autonomous agent, while DeepIP embeds AI drafting and office-action support inside the Word workflow patent attorneys already use. Teams drawn to agent-driven automation across prosecution and litigation will gravitate to &AI; teams that want document-first AI with published security certifications and an established user base will lean toward DeepIP. Both keep the attorney responsible for reviewing every output.

Last reviewed: 2026/06/18. Hands-on review pending. Scores reflect industry consensus. LawyerAI does not accept affiliate commissions; Featured placement is clearly labeled and does not influence editorial scores.

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