How Much of Your Patent Practice Should You Codify?

Key takeaways

• AI has raised the payoff for codifying patent practice. Codification now guides AI-assisted drafting and review directly, not just junior training.

• A purpose-built patent platform can encode a large body of best practice out of the box, so a team can begin with that foundation rather than write its own.

• Solve Intelligence maintains its shared foundation across more than 700 IP teams, keeping it current far more efficiently than any single team could alone.

• The strategic choice is how much of your own practice to codify on top; scarce expert time should go to the standards and judgment that differentiate your work.

• A named professional still signs off on every filing, so accountability for the result never shifts to the AI.

Why clear standards drive quality and consistency

At IP Counsel Cafe 2026, practitioners broadly agreed that the nearer-term shift is less about work allocation and more about how in-house teams and outside counsel work together, with clearer standards, higher quality, and more consistency on both sides. The common thread is how the work gets specified. Getting higher quality and efficiency from AI means stating clearly what good work looks like in a form a tool can apply and review. That is codification, and it matters far more now than it used to.

None of this assumes AI is close to replacing professional judgment. Reasonable practitioners disagree about how capable it will become, and many doubt it will match seasoned judgment for years. The case for writing practice down does not rest on any forecast about AI. It rests on something already visible, namely that today's systems can follow clear instructions that reflect how strong work gets done.

Why patent teams have rarely written down substantive standards

Patent work has long run on expertise that is easier to exercise than to write down. An experienced practitioner knows how to structure a claim set, where a specification needs depth because of how prosecution tends to unfold, and when an office action calls for argument rather than amendment. The same holds for in-house and outside counsel alike. Many teams keep procedural checklists for filing and docketing, but substantive know-how tends to remain with individual practitioners or in their work product. Junior practitioners often have to learn from those sources.

There are understandable reasons for this tendency. Until recently, writing down an approach to substantive issues offered a modest return, mainly greater consistency and better training materials. The effort also competed directly with billable work or other higher-priority tasks. Substantive practice also resists easy organization, since substantive judgment depends on the technical field, the jurisdiction, business strategy, and a body of law that keeps changing, often at once. Seen that way, not investing heavily in writing it all down may have been a reasonable choice.

Take the drafting of a set of claims for a complex genus. No written rule tells you how many dependent claims to spin out, yet the total has to stay manageable rather than mechanically calling out every alternative in its own dependent claim. Over time, a practitioner develops a feel for it, promoting the alternatives that matter, such as those covering the exemplified or commercially significant embodiments, and folding the rest together. That feel is genuine expertise, and it usually stays unwritten. The moment you try to tell an AI how to draft those claims, you have to put into words the unspoken heuristics you had been applying.

What AI changed, and what it didn't

AI has changed the payoff for codifying practice. A codified standard used to do its work only when a colleague read it. Now the same standard can guide AI-assisted drafting on new matters and inform the review of the drafts that come back, across a whole portfolio. In effect, one practitioner's hard-won expertise, once codified, can raise the drafting and review of an entire team rather than staying locked in one person's matters. Codified practice has gone from a training aid to something that shapes output directly at scale.

What AI has not changed is who is in control. The practitioner, not the tool, keeps the final call. The same holds for accountability. A named professional still signs off on the filing and stands behind it, whatever tools produced the draft. The judgment that shapes the result therefore stays human, even when the drafting is shared with a machine.

This is where the tool itself matters. Solve Intelligence is designed to keep the practitioner in command, with clear visibility into what the AI produces at each step, the rationale shown alongside it, and control over the output. Used this way, codification extends an expert's reach across a portfolio and leaves more of their time for the highest-level decisions, which stay firmly with them.

Build the foundation yourself, or use a platform?

Anyone who uses AI at all builds on some foundation, and the question is how much of it a team supplies itself. A purpose-built platform can provide the out-of-the-box codification of best practice, along with patent data and tooling. It can also keep that foundation current as models, the law, and practice change. That work is substantial and never finished. Much of it does not set one team apart, so building it yourself consumes scarce time that could go toward what does. The more of the foundation a team starts with, the more of its remaining time goes to its own codification and judgment.

A frontier model on its own gives you a thin foundation. It is a genuine starting point, but a general one. On a given matter, it may not reliably reflect current practice in a specific office or jurisdiction. It has no reliable access to patent data such as prior art and litigation history. It has no native support for figures, chemical structures, or sequence listings, and it is not maintained specifically for patent-practice accuracy. A team that starts there is choosing to supply the patent layer itself.

A platform like Solve Intelligence supplies far more of that foundation. It sits on top of the same frontier models and adds the patent layer. Patent professionals build and maintain that layer, so a great deal of best practice is already encoded out of the box and a team starts from a higher baseline. Because that foundation is shared across more than 700 IP teams, it is kept current far more efficiently than any single team could manage alone.

That foundation shows up in concrete features. Auto Template, available in Solve’s Drafting, Prosecution, and Charts products, turns a team's existing filings and internal standards into custom templates, so a team's own codification starts from real work rather than a blank page. That higher-level codification stays with the team. Solve Intelligence gives it a private, maintained place to encode and apply its custom templates and instructions, and the team decides how much of its judgment to write down and how much to keep in its people's hands. Where a team wants help capturing its own practice as standards, Solve's practitioners can assist, while the substantive choices and control over confidentiality remain with the team. The LexisNexis integration brings global patent litigation data into Solve’s drafting, prosecution, and claim-charting workflows, so the standards a team codifies and its everyday decisions can draw on current data.

How much should you codify yourself?

A good place to start is with what the purpose-built platform already provides. Because it encodes a great deal of common best practice, a team can use that foundation and apply practitioner judgment case by case without adding its own codification. That may be the right approach for some teams. Others may benefit from codifying distinctive aspects of their practice so the team can apply them consistently. The right level depends on each team's circumstances, priorities, and strategy. Custom guidance also takes work to build and keep current. A team should therefore add it where the expected gains in quality or consistency justify that effort, then revisit the choice as its practice, the law, and the technology change.

When a team does add its own codification, a custom application template or a reusable house style is a common place to start. The larger decision is how far beyond that to go, toward the higher-level standards that carry more of a team's judgment and need more upkeep. An outside counsel team, for instance, might codify how it structures claims and specifications to withstand validity challenges it encounters repeatedly in its field. An in-house team might codify what a specification has to cover for its own products and standards, so every outside firm starts from the same baseline.

These choices do more than shape each side's internal practice. They also affect how in-house teams and outside counsel divide and coordinate the work. An in-house team might codify enough to review incoming drafts or give outside counsel a structured starting point. Outside counsel might use its own standards to produce more consistent work across matters while keeping higher-level strategy in its lawyers' judgment. Neither side has a settled playbook, and the right balance will continue to evolve. With the shared foundation handled, both sides can put the time they save toward better work. That may mean sharper strategic judgment, additional codification, or both.

Where to start

Start with a strong, well-maintained foundation rather than rebuilding one yourself. Then treat how much of your own to codify as an ongoing experiment, not a fixed formula. For in-house teams, the near-term step may be to add only the codification with a clear payoff and reassess how much further to go. That includes deciding what to build internally and what to leave to the platform or outside counsel. For outside counsel, codifying a practice's expertise turns it into something the firm can demonstrate and retain. Keeping those standards sound as the law develops is exactly the kind of judgment that stays valuable. For both, the strategic move is to put scarce effort into the codification and judgment that differentiate the work, and to let a purpose-built platform carry the foundation.

Solve Intelligence is built for either side of the table. A law firm can hold its own codification on the platform as its asset, and an in-house team can maintain and refine its standards there. But codification is not the only thing that stays with the team. However the work is divided, and however much is handed to the tool, the responsibility for the result does not move. That is why the judgment behind the standards remains the practitioner's to own.

See where Solve Intelligence fits your team

Solve Intelligence gives your team a practitioner-built foundation out of the box and a private place to codify and retain ownership of the expertise that sets you apart. To see how in-house teams and outside counsel are putting it to work, book a demo or talk to our team.