Solve’s Guide for AI Adoption and Firm Rollout

After working with hundreds of IP teams globally to roll out AI patent software, we have learned that the firms who build a deliberate onboarding process for firm-wide adoption have the quickest, highest rate of success.

At Solve, we’ve seen that success and failure for proper AI adoption isn’t just about the technology. Rather, it’s the process, the support, and the people behind it.

Solve’s Guide for AI Adoption and Firm Rollout

Why AI LegalTech Pilots Succeed But Rollouts Stall

The pilot phase is usually straightforward. A small group of tech-curious associates and partners test the tool on public cases. They see drafting time drop by a conservative 30%. They appreciate the consistency and partners notice cleaner first drafts that require less review time.

But then comes the harder question: how do we get everyone else using it?

This is where structure matters. The firms that move from 5 pilot users to 50+ active users in a matter of weeks don't rely on enthusiasm alone. They follow a repeatable enterprise onboarding framework that removes friction and embeds the tool into daily practice.

The Enterprise Onboarding Framework

Based on our success with onboarding many large IP practices, here's the proven path from AI patent software pilot to full adoption:

1. Technical Foundation First

Before anyone outside the pilot group logs in, we work directly with firm IT to configure SSO, data retention policies, and security requirements. This eliminates the most common reason for delayed rollout: technical blockers that surface only after you've tried to add 30 new users.

For multi-office or global firms, this step is well-appreciated. Patent attorneys don’t want to spend time managing separate login credentials in their day-to-day work.

2. Clear Administrative Ownership

Enterprise AI adoption requires governance. We help firm leadership answer critical questions upfront: What are the data retention policies? How do we measure usage effectively? Who oversees and coordinates user access? How do we identify champions within the team? Who manages best practice and AI templates?

Identifying administrative owners early prevents confusion later. It also ensures that as the team grows, there's a clear escalation path for questions and customization requests when needed.

3. Custom Templates That Reflect Your Firm's Voice and Meet Client Requirements

This is the step that consistently transforms adoption velocity, enhances engagement and translates to quantifiable return on investment.

Attorneys trust AI outputs when they align with their practice and firm preferences. So, at Solve Intelligence, we build fully customized drafting styles based on your example publications and preferred boilerplate. We create jurisdiction-specific templates, client-specific templates if needed, and embed your internal drafting instructions directly into the tool. 

Then, a member of Solve Intelligence’s Legal & Product team will walk your team through how these templates were built, so they can create additional ones as new needs emerge.

This results in output that patent attorneys immediately recognize that requires fewer edits and redlining.

4. Individual User Setup at Scale

Every Solve Intelligence user receives direct login access, a getting-started guide as part of an onboarding email, and are free to book one-on-one sessions with our team of patent attorneys and AI engineers to develop custom workflows or discuss features that would be particularly helpful to their practice.

For large teams, we often coordinate access rollout by practice group or office to ensure no one gets lost in the transition.

5. Live Onboarding Sessions

We run a firm-wide onboarding session (or multiple sessions for global teams) covering the workflows that matter most: drafting patent applications, AI-based editing, handling figures and element labels, claims drafting workflows, and prosecution tasks such as OA analysis and generating response strategies.

We've found that making these sessions compulsory drives the best results. Optional training leads to uneven adoption. Attorneys often find a ‘penny-drop moment’ which increases engagement and an interest to explore more of the unique features in Solve Intelligence’s platform that lead to greater efficiency gains.

6. Ongoing Enablement Through Regular Check-In Sessions

Large teams need continuous structure. Solve Intelligence will run optional drop-in sessions (e.g., on a quarterly basis) to demonstrate new features, revisit advanced workflows, gather feedback for our product roadmap, and answer questions from attorneys and staff. We’ll iterate on all customer feedback and provide updates accordingly.

These sessions compound adoption over time, especially in firms with high lateral hiring or multiple offices (e.g., in various jurisdictions) that operate somewhat independently.

7. A Centralized Knowledge Base

All training sessions are recorded and stored in a central location - usually the firm's internal knowledge management system. This gives new joiners, lateral hires, and remote offices instant access to everything they need without waiting for the next training cycle. The Solve Intelligence team is also as hands-on as customers need, and providing this bespoke support is why 350+ IP teams trust Solve Intelligence.

The Bottom Line

The law firms that extract the most value from AI don't treat onboarding as a technical exercise. They treat it as a structured, team-wide capability rollout.

A small pilot proves the value and enterprise onboarding turns that value into daily practice that can compound the return on investment. The more users adopt the tool, the faster quality improves and the less time is lost to repetitive manual work.

At Solve Intelligence, we've built this process specifically for patent teams because we know exactly how IP teams and practitioners operate.

If your firm is evaluating AI patent tools and wants to understand what enterprise rollout would look like for your team, please reach out to our Partnerships team at partnerships@solveintelligence.com. We are always happy to walk through what we've learned from the hundreds of practices who've already made this transition successfully.

AI for patents.

Be 50%+ more productive. Join thousands of legal professionals around the World using Solve’s Patent Copilot™ for drafting, prosecution, invention harvesting, and more.

Related articles

How Solve Intelligence Handles Invention Disclosures and Unstructured Data

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.

How Nielsen Is Scaling Patent Operations with AI

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 Acquires Palito.ai to Unify AI Patent Litigation and Prosecution in One Platform

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

The Shift Has Already Happened: How Legal's Relationship with AI Changed

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.