AI Solutions · Search & Analytics
AI patent search and analytics that find what keywords miss.
Faster, broader and more intelligent patent discovery and analysis — semantic retrieval across 140M+ records, validated by expert analysts.
Direct answer
How does AI improve patent search?
AI improves patent search by understanding technical concepts instead of matching keywords, retrieving equivalent inventions described in different words, languages or classifications. It clusters and ranks results at scale so analysts spend their time on judgement — relevance, claim scope and legal significance — rather than collection.
AI search workflow
Invention input
Disclosure, claim set, product description or research question.
AI semantic retrieval
Concept-level matching across patents and non-patent literature.
Clustering & ranking
Technology grouping, assignee resolution, relevance scoring.
Expert validation
Analyst review, claim reading, noise removal.
Insight report
Findings, evidence, charts and recommended next steps.
Search & analytics capabilities
- AI prior art search
- AI novelty search
- Patentability analysis
- Freedom-to-operate support
- Invalidity search
- Patent landscape analysis
- Technology mapping
- Competitive patent analysis
- Citation and white-space analytics
When teams use it
- Before filing a new application
- Before launching a product
- During R&D planning
- During investment or M&A diligence
- Litigation and invalidity support
- Licensing and monetization
- Competitor and market monitoring
- Standards and essentiality studies
Who relies on AI-assisted search and analytics.
Connected capabilities
Once search results are in hand, intelligence programmes track how the field shifts over time and what it means for strategy.
AI-Powered IP IntelligenceSearch findings shape claim scope — drafting picks up directly from prior art evidence to build a defensible application.
AI Patent DraftingRecurring searches and watch cycles are better run by agents that plan, execute and report on a schedule.
Agentic AI for IPFor a fixed-scope, expert-led prior art project with defined deliverables, our traditional search practice remains available.
Prior art search servicesTalk to us
Get a defensible answer before you invest.
Send the invention, product or technology question. We will confirm scope, timeline and deliverable format, then run AI-assisted search with expert validation.
FAQ
Questions we hear from IP and technology teams.
Can AI perform patent searches?
Yes. AI performs semantic patent search, retrieving results based on technical concepts and functional equivalence rather than exact keywords. This widens recall across languages and terminology, after which expert analysts review and validate relevance.
How accurate is AI patent search?
AI dramatically improves recall and speed, but precision still depends on expert review. Hashi uses AI for retrieval and clustering and qualified analysts for relevance judgement, claim reading and reporting — the combination is more reliable than either alone.
What is a patent landscape analysis?
A patent landscape maps all patenting activity in a technology area: who files, where, in which sub-domains, at what pace, and how the field is evolving. It is used for R&D planning, market entry, partnership decisions and investment cases.
How does AI help prior art searching?
AI expands the search net through semantic similarity, multilingual retrieval and citation traversal, surfacing documents that keyword strategies miss — including non-patent literature and differently-worded equivalents.
Can AI do freedom-to-operate analysis?
AI accelerates FTO by shortlisting potentially relevant in-force claims across jurisdictions. Legal risk conclusions and claim-mapping still require qualified professionals, and Hashi always includes expert review in FTO work.
What is white-space analysis?
White-space analysis identifies technology areas with commercial value but sparse patent coverage — showing where protection can be built and where R&D faces less blocking risk.
How fast is AI-assisted patent search?
Typical AI-assisted searches complete in a fraction of the time of fully manual work. Turnaround depends on scope; focused novelty searches are usually days, landscapes and FTO studies longer.
Which databases and jurisdictions are covered?
Global patent collections including USPTO, EPO, WIPO, JPO, KIPO, CNIPA and the Indian Patent Office, plus non-patent literature, standards documents and technical publications.
Do you deliver claim charts and mapping?
Yes. We deliver claim charts, patent-to-product mapping and patent-to-standard mapping as part of analytics and standards work, with expert-verified evidence.
Can startups use AI patent search and analytics?
Yes, and it is often where value is highest — a fast novelty and landscape read before filing prevents wasted spend and sharpens claim strategy. We scope engagements for startup budgets and timelines.