AcclaimIP: Legal Research software
Move from patent search to decision faster
AcclaimIP is a patent search and analytics software product that lets IP teams search global patent data, analyse results, and move straight into reporting and decision-making in one workflow. It is aimed at corporate IP teams, law firms and other IP professionals who need patent intelligence to support legal, strategic and business decisions.
Product
AcclaimIP
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What AcclaimIP does
AcclaimIP covers searching patent documents, reviewing results for patterns and relevance, assessing patent strength, coverage and competitive position, and producing visual, shareable reports. Users can check prior art, review technology landscapes and monitor competitor activity. The platform is described as keeping search, analysis and reporting connected so context carries from research into downstream decisions. Reporting features include pre-defined single-click reports, extensive data download fields for off-tool reporting, in-tool charts with multi-series capability, and patent metadata for competitive intelligence and benchmarking. Analytical tools mentioned include foreign filing and annuity decision reports, US maintenance, abandonment and survivorship charting, global patent coverage data for competitors, and EP validation and validated state maintenance data. AcclaimIP's website states the product is built for corporate IP teams and law firms, and that practitioners, analysts, portfolio managers and business stakeholders can work from shared insights. The product is part of the Anaqua IP platform, which is offered alongside Anaqua's Solutions for Corporations and Solutions for Law Firms. A free trial and demo are offered on AcclaimIP's website.
What it does
AcclaimIP core capabilities
Search global patent data
Prior art, technology landscapes and competitor monitoring across global patent dataset.
Analyze results in context
Review patterns and relevance without switching to a separate analytics tool.
Support portfolio decisions
Assess patent strength, coverage and competitive position for filing and enforcement.
Report with clarity
Visual, shareable outputs showing the basis for each decision.
Go deeper when needed
Advanced search and analytics for complex or high-volume matters.
Technical specifications
- Global patent dataset: 175+ million documents
- 106 patenting jurisdictions covered
- 170,000+ new documents added weekly on average
- Web login via app.acclaimip.com
- Data download fields for off-tool reporting
- In-tool multi-series charting
Who it is for
Who AcclaimIP is built for
Target audience
- Large Law Firm
- Mid-Sized Law Firm
- In-House Legal Teams
Case studies
No case studies yet
AcclaimIP doesn’t have a client-confirmed case study on DreamLegal yet. Try exploring different products for exploring case studies.
Pricing details
AcclaimIP pricing
A free trial and a request-a-demo option are offered.
Product videos & screenshots
See AcclaimIP in action
Product interface
AcclaimIP Interface
Comparisons
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Transparency
AcclaimIP sources
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FAQs
Frequently asked questions about AcclaimIP
You can search patent data, analyse results, report findings, and apply that insight across invention review, prosecution, portfolio planning, competitive monitoring, licensing, and enforcement. The product is described as connecting search, analysis and reporting in one workflow so teams can act on patent intelligence.
It is built for corporate IP teams, law firms, and other IP professionals who need patent intelligence to support legal, strategic, and business decisions. Practitioners, analysts, portfolio managers and business stakeholders can work from shared insights and reporting.
The solution is powered by over 175 million global patent documents from 106 patenting jurisdictions. More than 170,000 new documents are added weekly on average, according to AcclaimIP's website.
Yes. Practitioners, analysts, portfolio managers, and business stakeholders can work from shared insights and reporting, and AcclaimIP's website notes outside counsel can also share a common view of the data.
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