Natural Language Patent Search

via “natural language query interpretation”

We built tooling that connects LLMs directly to case law databases with citation verification to address hallucination in legal AI. Think of it as giving the model access to actual legal sources instead of relying on training data.

Unique: Integrates a domain-specific language model that understands legal nuances, enabling it to provide more relevant interpretations compared to generic NLP models.

vs others: More effective at interpreting legal queries than standard NLP tools due to its focus on legal language.

via “patent document classification and similarity search with novelty detection”

Agents for company/regulations, search&monitoring

Unique: Combines patent classification, similarity search, and novelty detection in a single agent with NeoPTO partnership, rather than requiring separate tools for each task. Uses document embedding and similarity matching but does not document the embedding model or patent database coverage.

vs others: More automated than manual patent searches but lacks the transparency and validation of established patent search tools (Google Patents, Espacenet, LexisNexis) which provide documented search algorithms and prior art databases. Partnership with NeoPTO suggests domain expertise but integration details are not public.

via “natural language contract search and retrieval”

via “natural language query understanding”

via “natural language query understanding”

via “natural language document querying”

via “contextual-document-search”