Legal Front Door Coheso Launches Memory + AL Interview

Coheso, the legal front door pioneer, has launched Memory, which turns resolved legal requests into institutional knowledge. See AL Interview with CEO, Ned Gannon, below.

As the company explained: ‘Inhouse legal teams make thousands of judgment calls a year. As matters are resolved in Coheso, Memory identifies the decisions worth repeating and proposes them as positions, each with the reasoning, conditions, exceptions, and prior matters that established it.’

Sounds useful. This is how it works:

• ‘When a comparable question or request arises, Coheso automatically surfaces that precedent to the attorney addressing it.
• Coheso Memory keeps the conditions and exceptions that make the answer usable.
• Because Coheso is where requests are resolved, Memory suggestions arise as a byproduct of the work itself.
• An attorney approves what’s worth keeping. No one has to stop and document anything.’

Aditya Rathod, Chief Technology Officer at Coheso, commented: ‘In building Coheso Memory, most of our engineering effort went into two questions: whether a resolved request should become a position at all, and if it should, what the repeatable guidance is that would add the most value to the department.

‘The system is designed to separate the particulars of a single matter from the guidance a department would apply again, and nothing it proposes takes effect until an attorney has approved it.’

The company also noted that Memory follows Coheso’s expansion of AI agents, including agents that redline contracts against a team’s own playbooks. This is all part of a strategy to build a broad platform that meets the multiple needs of inhouse lawyers.

Here’s a short video of what it does.

And now the AL Interview with CEO, Ned Gannon, pictured here with the founding team members.

Why do this and why now?

This concept came directly from our clients. Coheso is the legal front door and operating layer for in-house legal teams. We meet business users where they already work, in email, Slack, or Teams, or via a branded legal intake portal, so we see every kind of request that reaches the legal department. What we kept noticing is that legal’s habit of capturing knowledge is uneven. Contracts have a mature discipline of playbooks, fallbacks, and approved exceptions. But contracts are only a portion of what an in-house team handles. Marketing reviews, privacy questions, employment issues, vendor risk, and internal policy interpretations all produce real precedent, and almost none of it gets captured. So we built Memory around every request type, not just contracts.

The timing reflects where the market is heading. As AI makes drafting, redlining, and research more abundant, the durable value moves to the layer that decides what work happens, who or what handles it, and what the organization already knows. As the operating layer for in-house legal work, Coheso is the system of record for how it’s requested, resolved, and remembered. Memory is the “remembered” part of that.

The payoff is twofold. Legal departments give faster, more consistent answers, because the answer no longer depends on which attorney picks up the request. And they keep their institutional knowledge when attorneys move on, instead of losing it when someone leaves.

Has the technology changed to allow this to happen? 

Yes, in three ways.

First, agentic capabilities. AI can now work through a large body of material step by step instead of answering in one pass. A legal request carries a lot of context: agreements that can run long, nuanced details in the request itself, and comments from the legal team. Each of those enriches the others, and an agent can now act on all of them together.

Second, the models themselves have become more capable. They can take in that volume of context, set aside the noise, and pull out the few crisp insights that matter. In practice that means telling the particulars of one matter apart from guidance a department would apply again, and the second part is where the value sits. Because of that, an attorney’s role comes down to approving or rejecting a proposal instead of rewriting it.

Third, you can only do this if all the context around a request is in one place and ready to act on. That’s what we’ve been building toward at Coheso from the start: ingesting context from the platforms organizations already use, so the full picture of a request is there when it’s resolved.

How is operational judgment (e.g. costs, timeline etc) different from legal judgment? 

Legal judgment is the substantive call. It’s determining if a given risk is acceptable, which position the organization should take, and what exception applies and why. Operational judgment is how the work gets run around that substantive call. It’s determining who should handle a request, how long it should take, whether it needs outside counsel, what it will cost, and what should be escalated. Both require real expertise, and both usually sit in people’s heads.

They’re also tightly linked. A department’s position on a certain kind of request often depends on the cost, the timeline, and the business context. The conditions and exceptions behind a decision frequently include those operational factors, not just the legal analysis. Coheso sits where both kinds of judgment show up, so we’re in a good position to capture them together, and a team can see why a position holds in practice.

How is the company doing?

We’re doing well and extremely busy. We work with clients across the U.S., Europe, and the Middle East from a diverse set of industries including Healthcare, Tech, Finance, Chemicals, Cybersecurity, Beauty, and Manufacturing.

In-house teams and the internal business clients they serve love the product. 52% of our ARR comes from client referrals.

We’re building fast and continuing to enhance the platform rapidly. That said, we haven’t focused as much on marketing but will be increasing visibility as we move into 2027.

How do you see the shape of the legal tech market now, given the rapid changes?

As you know, I’ve been focused on legal tech since co-founding contract analytics pioneer eBrevia in 2011. It’s been fascinating to watch and participate in the space evolving. Having been through several technology cycles, I can say this one feels different, because the pace of change is now faster than most buyers can absorb.

Today, in the in-house context, I think the market is sorting into two groups. One group is tools that do a single task well, such as drafting, review or search. The other is platforms that sit where the work actually happens and accumulate context over time. AI makes individual tasks much cheaper to automate, so task-level capability is starting to get commoditized. What’s hard to copy is knowing how a specific legal department thinks, what it has decided before, and why.

That’s why I expect value to move toward systems that own the workflow and learn from it, and why I think AI-native architectures will prevail. The winners will be the ones that become the place where a legal department’s judgment accumulates.

Thanks and congrats on the growth of the platform!

–

Demos are available upon request here, and there’s more about Memory here.

—

Legal Innovators UK – Nov 4 and 5 / Legal Innovators New York – Nov 17 and 18

Cosmonauts have now opened Express Registration for Legal Innovators UK and New York. This means that if you are at a law firm or at an inhouse legal team you can now zoom directly to your tickets – which are complimentary as long as you qualify.

For London – Nov 4 and 5, at the Minster Building, see here:

And, for New York – Nov 17 and 18 – Midtown, please see here: