Barrett Cole Joins Solve

If you've been drafting patents for any length of time, you know the real bottleneck is often not the drafting itself. It's the messy inputs that precede it: partial forms, internal review decks, or email threads where the inventive aspects are buried. Getting from that to a coherent starting point for a draft consumes time most practices simply can't afford.

AI can perform much of that translation work: extracting what matters, flagging what's missing, and generating the necessary follow-up questions based on holes and shortcomings. But it must operate inside proper confidentiality controls, and its output requires attorney review before going near a draft. This guide covers how that works in practice in Solve Intelligence's platform .

Key takeaways

• The disclosure bottleneck is upstream; AI structures messy inputs before the drafting phase begins.
  
• AI extracts features, normalises terminology, surfaces gaps, and generates inventor questions, but attorney review is mandatory.
  
• The danger is plausible but fabricated detail, not obvious errors. Watch for AI-generated parameters or 'helpful' specifics.
  
• Disclosures contain trade secrets and unpublished IP. Use only tools with verified zero-training, zero-retention policies and enterprise-grade security.
• A sensible pilot, without client approval, uses anonymised or historical disclosures to define 'good' output and track key metrics over limited timeframe.

Nielsen, a global leader in media audience measurement operating in over 50 countries, manages an industry-leading patent portfolio protecting innovations across a variety of fields, including data science, media measurement technology, and viewer analytics. Operating at the intersection of data science and an ever-changing media landscape requires constant innovation to keep pace. Supporting this innovation velocity requires IP operations that can scale without compromising quality.

Nielsen's in-house team adopted Solve Intelligence as their AI patent platform following a comprehensive evaluation process in Q4 2025. The partnership between Nielsen and Solve Intelligence reflects a shared commitment to precision and enabling practitioners to do their best work more efficiently.

Solve Intelligence has acquired Palito.ai, a Munich-based startup specialising in AI-powered patent litigation and prior art analysis.

The acquisition deepens Solve’s investment in patent litigation, adding Palito's strengths in validity analysis, case law research, and European patent workflows to Solve’s existing Charts product. The result is a single platform where IP professionals can handle invalidity claim charts, SEP claim charts, freedom-to-operate and clearance analyses, infringement mappings, claim construction analyses, portfolio analyses, and more.

Solve Intelligence is an AI platform for IP professionals, covering patent drafting, prosecution, and litigation. Palito.ai is a Munich-based startup specialising in AI-powered validity analysis and European patent litigation workflows.

At a glance:

• Solve Intelligence acquires Munich-based Palito.ai
• Adds validity analysis, prior art research, EPO/UPC/German court workflows
• New Munich office established
• Existing Charts users get expanded litigation capabilities

Two years ago, the dominant argument in the legal industry was whether AI had any place in the profession at all. That debate is over.

Analysts are now calling 2026 the year AI moves from an “interesting tool” to “operational infrastructure”. The speed at which that narrative has changed tells you everything about where the industry is heading.

Key takeaways

• The legal profession's central question has moved from "can we trust this?" to "how do we integrate this properly?"
• AI adoption across IP practice has risen from 57% in 2023 to 85% in 2025.
• Firms are not just trialling AI tools, they are expanding its use across full workflows. Practitioners using Solve Intelligence grew ~560% in 2025 alone.
• Clearer regulatory guidance has removed one of the most significant psychological barriers to adoption.
• The profile of firms now adopting AI has changed: these are not early experimenters, but some of the most demanding legal professionals in the world.