Patently
Patently is an AI-assisted patent search, drafting, prosecution, and analytics platform designed to support patent professionals across the full patent lifecycle. It combines global patent data and SEP declaration information with advanced natural language processing and large language models to help users move efficiently from invention disclosure through searching, drafting, and ongoing prosecution.
Patently enables semantic prior-art searching and landscape analysis using natural-language inputs, supporting novelty, validity, FTO, and competitive intelligence workflows. Its core differentiator is AI-assisted patent drafting and amendment support, allowing users to generate, structure, and refine specifications, claims, and responses to office actions while maintaining practitioner control and transparency over all outputs.
The platform includes tools for claim analysis, patent family review, legal status insights, and technology trend analytics, with an emphasis on explainability and human-in-the-loop review rather than black-box automation. Patently is designed to augment professional judgement, improve drafting consistency and efficiency, and reduce friction between searching, drafting, and prosecution activities within a single integrated environment.
Patently includes an AI assistant that can help users search, review, interpret, and categorise patents, providing guidance throughout prior-art exploration and analysis workflows.
In addition, Patently provides semantic and similarity-based patent searching designed to integrate directly with drafting and prosecution workflows. Users can search prior art using natural-language queries rather than strict Boolean syntax, allowing concepts, functional language, and problem–solution framing to drive retrieval.
Similarity search enables users to identify patents and applications closely related to a selected document or claim set, supporting novelty assessment, claim refinement, and iterative prior-art review. Semantic relevance is derived from contextual language patterns rather than keyword frequency alone.
Patently Proprietary Technology Classification
Patently supports searching and analysis using established patent classification systems, including the Cooperative Patent Classification (CPC) and International Patent Classification (IPC), which can be used independently or in combination with keyword and semantic queries.
Patently provides a proprietary technology classification derived from CPC and IPC headings, but simplified to make it more intuitive for users. This internal classification groups patents by functional and technical themes, making exploration of unfamiliar or emerging technologies easier while maintaining alignment with standard classification structures. It supports concept-led searching, landscape analysis, and claim-focused review where traditional schemes may be overly detailed or complex.
In addition, all ETSI/3GPP declarations are indexed and fully searchable by technical specifications, allowing users to integrate SEP related information seamlessly into search and patent analysis workflows.
Standard and proprietary classifications can be used alongside Patently’s semantic and similarity-based search tools, allowing users to move fluidly between formal classification filtering and natural-language exploration within a single workflow.
Patently provides standardised applicant names, helping to address name variants and group related entities. This improves accuracy when searching, filtering, and analysing patent portfolios.
Patently provides a proprietary Genetic family definition. Genetic families group patent documents based on subject matter of individual inventions
and don't rely solely on formal priority rules. Users consistently find this approach more intuitive for understanding how patent families develop in practice compared to traditional INPADOC or DOCDB-style groupings. Patently also have a family definition designed specifically to help analysis of Standard Essential Patents (SEP families)
Users can select the level of aggregation most appropriate for searching, analysis, and review.
Family structures are presented transparently, enabling users to move easily between publication-level, family-level, and genetic lineage views when assessing prior art, filing strategies, or global patent coverage.
Patently provides indexed applicant name and invention text searching to support efficient navigation and filtering of search results. Applicant names are standardised to reduce variation and improve consistency across portfolios and analyses.
In addition, users can define and save custom groupings of related applicants (for example, companies within the same corporate group) for use in searching, filtering, and analytics. These groupings support practical portfolio and landscape analysis without relying on a fixed or editorially maintained corporate tree structure.
Invention text is fully indexed across titles, abstracts, claims, and descriptions, enabling both keyword-based and semantic exploration of patent content.
Patently provides flexible and user-friendly result views to support efficient review and analysis of patent search outputs. Search results can be sorted by relevance and other key attributes, with translated titles and abstracts and on-demand machine translation available to support review of non-English documents.
Users can annotate and flag individual records or entire families within result sets and projects, helping to capture relevance assessments, comments, and review decisions. Keyword highlighting is used to surface relevant terms within titles, abstracts, claims, and descriptions, allowing users to quickly understand why documents have been retrieved and to navigate efficiently within full-text records.
Result views are designed to integrate seamlessly with Patently’s search, analytics, and drafting workflows, enabling users to move smoothly from high-level result review to detailed document analysis.
Patently allows analysis across a wide range of patent information, including applicant and inventor details, citations, classification codes, filing and publication dates, and invention text. Users can explore trends, relationships, and activity within datasets through both graphical and statistical views.
Graphical analytics include charts, timelines, and interactive visualisations that help highlight patterns and connections across technologies, assignees, and inventors. Statistical analysis provides summaries, counts, and distributions of key attributes, supporting landscape studies, portfolio management, and prior-art assessment. All analytics are integrated with Patently’s semantic and similarity-based search capabilities, allowing users to seamlessly move between data exploration and detailed patent review.
Patently supports ongoing monitoring of search results and patent status through saved searches and project-based tracking. Users can save searches and portfolios and revisit them at any time to view a dedicated “delta” view highlighting what has changed since the last review, including newly published documents, updates to existing records, and changes in legal status.
This approach enables effective search and portfolio monitoring without requiring users to re-run complex queries or manually compare result sets. Monitoring is integrated directly into the user’s working projects, supporting iterative review during drafting, prosecution, and freedom-to-operate workflows.
Patently supports flexible export of patent data across a wide range of fields, including bibliographic data, titles and abstracts, classifications, citations, legal status information, and invention text such as descriptions and claims. Exports can include both standard patent data and user-defined custom fields created within projects.
Data can be exported in multiple formats, including CSV, Excel, Word, PDF, and image formats, allowing users to reuse results for reporting, internal review, client deliverables, and further analysis outside the platform. Export options are designed to integrate naturally with search, analytics, drafting & prosecution workflows, enabling users to tailor outputs to their specific needs.
Patently supports collaboration through shared workfiles organised within a customizable, matter-centric structure that fits seamlessly into attorney and IP professional workflows. Users can create projects or folders for specific matters, configure edit permissions and access rights, and maintain ethical walls to avoid conflicts of interest across multiple clients or teams.
Workfiles can include saved search results, documents, and annotations, allowing colleagues to collaborate efficiently while keeping all records up-to-date. This flexible system enables secure, controlled sharing and supports internal review, project management, and cross-team collaboration without compromising confidentiality or compliance requirements.
Patently includes industrial design information sourced from patent offices, categorised as design patents, allowing users to review design-specific filings alongside related patent documents.
For non-patent literature, Patently enables users to view citations captured in patent documents via the CCD portal and to link or upload their own non-patent documents to supplement projects. This approach allows users to integrate relevant literature and contextual references with patent data, supporting research and analysis, without providing a full non-patent literature search capability.