
One of the core purposes of legal tech products is to shrink the time and effort needed for early case management and trial preparation. To achieve that goal, DataNovo has created the first AI- and machine learning-based system that offers three core features: (1) licensing; (2) AI-driven prior art searches; and (3) patent analytics. For licensing, with a single key stroke, DataNovo's Software-as-a-Service platform allows any individual or corporate entity to identify potential infringers and associated infringing products to every U.S. patent, and helps patent owners advance monetization efforts and secure licensing opportunities. For AI-driven prior art searches, with a single patent number (instead of keywords), DataNovo offers users the best prior art against that patent instantaneously. Using artificial intelligence and machine learning, DataNovo aims to reduce search speed, improve result accuracy, and minimize cost. Companies interested in patent landscape can also use DataNovo's patented platform to check if their new product may infringe on any existing patent. For patent analytics, which are suited for patent owners or business competitors who are looking to gather, analyze, and assess patent validity strength before pursuing or defending patent lawsuits, advancing licensing deals, or structuring M&A transactions, DataNovo's business intelligence helps facilitate real-world settlement, licensing, and purchase negotiations. With DataNovo, companies are able to obtain stronger, more defensible patents, challenge frivolous lawsuits, assess critical licensing or infringing intelligence, and make informed business and strategic decisions throughout the companies' life cycles.

One of the core purposes of legal tech products is to shrink the time and effort needed for early case management and trial preparation. To achieve that goal, DataNovo has created the first AI- and machine learning-based system that offers three core features: (1) licensing; (2) AI-driven prior art searches; and (3) patent analytics. For licensing, with a single key stroke, DataNovo's Software-as-a-Service platform allows any individual or corporate entity to identify potential infringers and associated infringing products to every U.S. patent, and helps patent owners advance monetization efforts and secure licensing opportunities. For AI-driven prior art searches, with a single patent number (instead of keywords), DataNovo offers users the best prior art against that patent instantaneously. Using artificial intelligence and machine learning, DataNovo aims to reduce search speed, improve result accuracy, and minimize cost. Companies interested in patent landscape can also use DataNovo's patented platform to check if their new product may infringe on any existing patent. For patent analytics, which are suited for patent owners or business competitors who are looking to gather, analyze, and assess patent validity strength before pursuing or defending patent lawsuits, advancing licensing deals, or structuring M&A transactions, DataNovo's business intelligence helps facilitate real-world settlement, licensing, and purchase negotiations. With DataNovo, companies are able to obtain stronger, more defensible patents, challenge frivolous lawsuits, assess critical licensing or infringing intelligence, and make informed business and strategic decisions throughout the companies' life cycles.
Product: AI/ML platform for claims-to-prior-art mapping, prior-art search, licensing intelligence, and patent analytics
Scale: Analyzes a corpus of 80+ million prior-art items (patents and non‑patent literature)
Funding signal: One disclosed early round in Jan 2019 (listed as Pre-Seed/Seed; a $100k figure is reported in one database while another shows the amount obfuscated)
Founding record: Public records disagree on founders and founding year
Patent prior-art search, claim chart generation, patent analytics, and licensing intelligence for patent owners, law firms, and corporate IP teams.
Legal technology
100000 USD
One early-round event dated Jan 2019 is recorded; one database lists the round as Seed at $100,000 while another lists a Pre-Seed round on 2019-01-01 with the amount obfuscated.