AI patent search is faster. AI prior art analysis is cheaper. Your prosecution judgment and claim strategy are what actually protect inventions.
AI searches databases. You build intellectual property.
AI-powered patent tools can now search millions of prior art references in seconds, generate claim charts, draft preliminary patent applications, and identify potential infringement risks at a fraction of traditional costs. The legal technology market is embedding AI into every stage of IP workflow - from invention disclosure analysis to portfolio management. Corporate legal AI adoption more than doubled in a single year. But patent prosecution isn't a search problem - it's a strategy problem. Which claims to pursue, how to craft dependent claims that survive examination, how to build a prosecution history that supports future enforcement, how to navigate the examiner's specific objections - that requires YOUR years of experience with specific technology domains, patent office procedures, and claim drafting strategy. DataPeeps turns YOUR patent prosecution methodology into an AI that demonstrates that strategic depth.
We're onboarding patent attorneys in small groups - early signups get priority access
AI automates the search. Your claim strategy, prosecution judgment, and technology expertise are what build enforceable patents.
of corporate legal departments now use AI - more than doubled from 23% in one year. IP departments are adopting AI tools for prior art search, portfolio analysis, and preliminary drafting.
Industry surveys / Jones Walker LLP
of legal tasks are susceptible to AI automation - and patent search, prior art analysis, and document review are at the top of the automation list.
Legal technology industry research
typical patent attorney rates for prosecution work. Clients are asking whether AI prior art search at a fraction of the cost means they need less attorney involvement - without understanding the strategy gap.
IP industry rate data
Your clients can run an AI prior art search in five minutes that returns thousands of relevant references - work that used to justify days of billable time. AI tools can generate preliminary claim charts, draft basic applications, and identify potential freedom-to-operate issues. The search and drafting layer of patent work is being automated. But an AI search that returns 3,000 prior art references without strategic analysis is noise, not prosecution strategy. An AI-drafted application that doesn't anticipate examiner objections creates prosecution history problems. AI can find the references - it can't craft the claim strategy that navigates around them. YOUR technology domain expertise, your understanding of examiner tendencies, and your prosecution judgment are what build patents that actually stand up in litigation. The clients who understand that distinction will pay your rates. DataPeeps helps the ones who don't understand yet.
From search provider to IP strategist.
Clients use AI prior art search tools and question whether they need a patent attorney for anything beyond filing
Your technology domain expertise, prosecution strategy, and claim drafting methodology are invisible until deep into a prosecution
Every new client engagement starts by justifying why patent prosecution costs more than running an AI search
Between matters, your IP expertise generates no leads - you wait for referrals and new invention disclosures
Clients experience YOUR patent strategy thinking before the first engagement - and understand why AI search without prosecution strategy creates weak, unenforceable patents
Your methodology for claim strategy, prosecution navigation, and technology domain expertise is accessible and demonstrating depth 24/7
New inventors arrive pre-educated on the difference between a patent search and a patent strategy - conversations start at the strategic level
Your expertise captures leads from inventors and companies who need prosecution strategy, not just prior art databases
Live in minutes. Not months.
Upload your patent expertise
Claim strategy methodology, technology domain guides, published articles on patent prosecution, inventor education materials, prosecution history best practices, patent portfolio strategy frameworks - anything that captures your strategic approach beyond search.
Set professional guardrails
Share general patent education and strategy philosophy. Redirect engagement-specific prosecution advice to a consultation. Set appropriate disclaimers. Block anything that could be construed as formal legal advice. Your professional ethics, your boundaries.
Deploy where inventors search
Embed on your firm's website, share with technology company contacts, or use as a business development tool at industry conferences. Your prosecution methodology starts attracting inventors and companies who need strategy, not just search.
Built for patent attorneys who build IP empires, not just applications.
Technology Domain Expertise
Your AI communicates YOUR knowledge of specific technology areas - biotech, software, mechanical, chemical - demonstrating the domain depth that general-practice attorneys and AI tools can't match.
Zero Made-Up Answers
In patent law, precision is everything. Every response comes from YOUR uploaded content. Nothing invented. No hallucinated case law. No fabricated prior art citations. If your AI doesn't have enough information, it says so.
Inventor Education
Most inventors don't understand the difference between a patent search and a patent strategy. Your AI educates them - building trust and demonstrating why prosecution expertise matters before the first engagement.
Lead Qualification
Every question reveals the sophistication of the IP need. A startup asking about provisional vs. non-provisional strategy is a different client than an inventor asking "can I patent my idea?" Capture and qualify automatically.
Methodology Protection
Your claim drafting strategies, prosecution approaches, and technology domain expertise are your competitive advantage. Content is encrypted, never shared, never used for external training.
What this looks like in practice.
David is a patent attorney specializing in AI and machine learning inventions. He uploads his published articles on patenting AI algorithms, his inventor education guides on software patent strategy, and his methodology for navigating Alice/101 rejections into DataPeeps. When a startup founder visits David's website and asks "Our machine learning model improves predictive maintenance in manufacturing. How do we approach patenting an algorithm when the USPTO keeps rejecting AI claims under Section 101?", they get a response grounded in David's actual prosecution strategy - addressing the specific claim framing techniques and technical improvement arguments that survive Alice rejections. The founder contacts David directly. The conversation starts at the strategic level - not at "what is a patent?" David reports that his AI attracts exactly the right clients: technology companies with genuine AI patentability challenges who need specialized prosecution expertise, not solo inventors asking whether they can patent a business method.
Illustrative example based on the DataPeeps platform. Your results will depend on your content and practice area.
Questions we hear from patent attorneys like you.
The patent attorneys who deploy their prosecution expertise first will define what IP strategy looks like next.
AI searches millions of references in seconds. It can't craft the claim strategy that turns a search result into an enforceable patent. The patent attorneys who stay essential aren't competing with prior art databases - they're the ones whose prosecution judgment and domain expertise build IP portfolios that protect real innovations. DataPeeps puts your methodology to work.
We're onboarding patent attorneys in small groups - early signups get priority access
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