AI-powered patent workflow platform that automates claim chart generation, patent infringement detection, patent application drafting, office action analysis, and portfolio optimization. Founded 2024, based in New York. $18.5M total funding: $14M Series A (Feb 2025, led by Next47) with Google’s Gradient Ventures, 8VC, Alumni Ventures, Liquid 2 Ventures, Myriad Venture Partners. Google-backed. Latham & Watkins advised on Series A. GC: Aryeh Richmond (ex-Netflix Product Legal Director, ex-Dapper Labs — Law360 Pulse). Named customers: Foley & Lardner LLP (AmLaw 50, adopted for patent workflows), Rivian (in-house IP operations, Lexology/LinkedIn coverage), Young Basile (IP boutique, cut patent workloads by 20% per case study PDF). Blog claims reducing patent drafting cost from $47,500 to $9,500 (vendor-claimed). Biotech company saved 10-15 hours per patent application (vendor blog). SOC 2 Type 2 + ISO 27001 + ISO 42001 certified — customer data encrypted, segregated, never used for training. G2: 3 reviews (‘easy to use…helps our team see issues they would normally miss’). Lexology: ‘the only drafting tool built from the ground up to support the entire patent drafting workflow in one environment.’ FoundThisAI ranks Patlytics #2 (Leader in Integrated Workflow) behind Solve Intelligence. Competes with PatSnap (incumbent, broader database), Solve Intelligence ($200/draft, lower-cost), Derwent Innovation (Clarivate), Orbit Intelligence. Harvey also entering patent workflows. Reddit r/patentlaw: mixed — ‘seems awesome’ from demo user but general AI drafting skepticism (‘outputs are universally poor’). SEP essentiality review and patent pruning are niche differentiators. Pricing: custom enterprise, not published.
Company Info
- Founded: 2024
- Team size: 11-50 employees
- Funding: $18.5M
- HQ: United States
- Sector: Gen, AIIP
What We Haven’t Verified
This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.
Workflows
Based on practitioner evidence, Patlytics is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems Patlytics addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
In-house IP team at a tech company files 200+ patent applications per year and each one takes a patent agent 40-60 hours to draft from the inventor disclosure — the bottleneck isn't the invention, it's the labour-intensive process of writing specifications, claims, and figures that meet USPTO requirements, while the patent agent's queue grows faster than they can work through it
Litigation team preparing a patent invalidity defence needs to find prior art that anticipates or renders obvious each claim element — manually building claim charts across dozens of references takes weeks and costs $50-100K in associate time, and missing one key reference could lose the case
Litigation partner needs an expert witness in underwater welding metallurgy for a maritime injury case — the paralegal spends two weeks cold-calling university departments and professional associations, the expert they find has never testified before, and the opposing counsel's Daubert challenge succeeds because nobody checked the expert's litigation history
When my litigation team receives 100,000 documents in discovery and the partner wants an early case assessment by Friday, I need to understand the key facts, players, and timeline before we've even started formal review — but right now the only option is throwing associate hours at it and hoping we surface the right documents
Community Data
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