Stilta

IP attorneys and in-house patent teams at law firms and companies need to find prior art, build infringement cases, and assess freedom-to-operate risk, work that traditionally relies on manual review or external search firms taking weeks to deliver a reference list. General AI tools like ChatGPT or Claude can summarize a patent but cannot produce a defensible prior-art search or litigation-grade claim chart. In Stilta's own PTAB benchmark across 40 IPR institution decisions, general LLMs surfaced only about 18% of cited prior art, versus 71% for Stilta. This leaves teams spending excessive time on searches that must later be verified element by element, slowing down case work and commercialization decisions.

Stilta provides agentic AI that reads patents, claims, technical drawings, and scientific literature to produce litigation-grade work product for invalidity, infringement, FTO, and portfolio analysis. It indexes over 200 million patents across 110+ jurisdictions, 300 million scientific publications, USPTO prosecution history, and over 1 trillion archived web pages (including pages no longer online), refreshed daily. Every finding is cited to its source PDF with verbatim quotes, so attorneys can verify claims rather than trust them blindly, while remaining in control of the analysis. The platform covers specific technical domains such as telecom (mapping claims to 3GPP/IEEE releases), life sciences (BLAST sequence search, FDA records, Orange Book), chemistry (structures, formulations, synthesis routes), and robotics/electronics (circuit diagrams, product manuals, court claim construction history), and claims to go from input to first draft in about 30 minutes.