This article is published by J-10, Jalubro's proprietary governance enforcement platform. It is part of a series exploring how regulated enterprises can enforce compliance inside operational workflows. To learn how Jalubro's advisory and implementation services support governed enterprise operations, visit our services page.

Your legal team is using AI every day. Here is what it looks like when that usage is governed, and what it looks like when it is not.

AI is no longer a pilot programme in most legal departments. It is operational. Lawyers are using CoCounsel for contract review and clause drafting. Associates are using Harvey for legal research and document analysis. Paralegals are using AI tools for document summarisation and deposition preparation. In-house teams are using AI to triage legal requests, analyse supplier contracts and generate first drafts of standard agreements.

The productivity benefits are real. The governance around it, in most legal departments, is not.

This article walks through a single day inside a legal department that has deployed AI tools with and without enforceable governance.

08:30: Contract clause drafting

A senior associate is drafting a vendor services agreement for a technology supplier. The contract value is £2.4 million. She uses CoCounsel to generate an initial set of commercial clauses, including limitation of liability, indemnification and termination provisions.

Without governance. CoCounsel generates the clauses. The associate reviews them, makes minor edits and inserts them into the contract in the CLM. The limitation of liability clause uses uncapped mutual liability for IP infringement. This is not consistent with the firm's approved clause library, which caps IP indemnity liability at twice the annual contract value for vendor agreements in this category. The deviation is not flagged. The contract moves through review, negotiation and execution. The deviation is discovered four months later during a contract audit.

With governance. CoCounsel generates the same clauses. Before they enter the CLM, J-10 validates each clause against the approved clause library. The limitation of liability clause is flagged. The associate is notified. She requests an exception, providing commercial justification. The exception is routed to the Head of Commercial Legal, who approves it with a note. The contract proceeds with the deviation governed, justified and evidenced.

09:45: Privileged document summarisation

A partner is preparing for a board meeting. He needs a summary of the legal department's exposure across six active disputes, including settlement ranges and litigation strategy. He asks his PA to use Harvey to summarise the relevant litigation memoranda.

Without governance. The PA uploads six privileged litigation memoranda into Harvey, each containing settlement strategy, counsel's assessment of likely outcomes, and confidential communications between the legal team and external advisors. Harvey produces a well-structured summary. At no point does anyone consider whether privileged litigation strategy documents should be processed by an AI tool. The enterprise has no record of which privileged documents were provided to Harvey.

With governance. The PA attempts to upload the first memorandum into Harvey. J-10 identifies the document as classified "Privileged - Litigation" under the enterprise's data classification framework. The upload is blocked. She contacts the partner, who decides that two of the six memoranda can be processed (they relate to matters that have settled) while four cannot. He authorises the two and the PA proceeds with those. The enterprise has a complete record.

11:15: Regulatory research

A compliance analyst in the legal team is researching the implications of a recent regulatory change across three European jurisdictions. She uses Harvey to produce a comparative analysis.

Without governance. Harvey generates a detailed analysis. One of the regulatory provisions cited by Harvey was amended three months ago. The analysis overstated the impact for Germany, which means the process review was scoped incorrectly. The firm has spent six weeks working on a remediation based on outdated information.

With governance. Harvey generates the same analysis. Before it enters the compliance workflow, J-10 validates the regulatory citations against available regulatory databases. The amended German provision is flagged. The compliance analyst confirms the issue, corrects the analysis and produces an accurate memorandum. The six-week detour does not happen.

13:00: Matter intake triage

The legal department receives an average of forty new legal requests per week. The legal operations team has deployed an AI-assisted triage tool that categorises incoming requests, assigns priority levels and routes them to the appropriate legal team.

Without governance. The AI triage tool categorises a request from the procurement team to review a supplier's data processing agreement as "routine commercial" and assigns standard priority. In reality, the supplier processes personal data in a jurisdiction where the firm has recently been flagged by the data protection authority. The standard-priority routing means the review is delayed by two weeks. By the time the data privacy team sees it, the supplier has already been onboarded.

With governance. The AI triage tool produces the same initial categorisation. Before the routing is finalised, J-10 cross-references the request against active regulatory matters and data protection flags. The supplier is matched to an open regulatory matter. J-10 overrides the AI categorisation, escalates the request to "regulatory sensitive" and routes it to the data privacy team. The data privacy team reviews the DPA before supplier onboarding proceeds.

14:30: Due diligence document review

A mid-level associate is reviewing 200 contracts as part of due diligence for a potential acquisition. She uses Harvey to identify change of control provisions, assignment restrictions, material adverse change clauses and key termination triggers.

Without governance. Harvey processes the 200 contracts and produces a structured summary. Harvey's analysis missed a change of control provision in one contract because the clause was embedded within a broader "miscellaneous" section and used non-standard language. The due diligence report is submitted without the missing provision. The issue surfaces post-completion.

With governance. Harvey produces the same summary. J-10 applies a completeness check: 200 contracts were provided, and the summary should contain analysis of each. J-10 identifies that three contracts have lower confidence scores for change of control analysis. These three are flagged for mandatory human review. The associate reviews them manually, identifies the embedded change of control provision and includes it in the due diligence report.

16:00: Client advice incorporating AI-generated content

A partner is drafting advice to a client on the enforceability of a non-compete clause. She uses CoCounsel to research recent case law and draft an initial opinion.

Without governance. CoCounsel produces a draft opinion citing four recent cases. One of the four cases does not exist. It is a hallucination. The case name is plausible, the citation format is correct, and the ratio described is consistent with the legal position, which is why the partner did not catch it during review. The client's external counsel identifies the non-existent case three weeks later. The opinion needs to be withdrawn and reissued.

With governance. CoCounsel produces the same draft. J-10 validates the case citations against legal databases. The non-existent case is flagged. The partner is notified before the opinion leaves the department. She removes the hallucinated citation, verifies the remaining three cases, and sends an opinion that relies on verified authority.

The pattern

Across every scenario, the pattern is identical. An AI tool produces a useful output. Without governance, the output enters a workflow, a decision or a client communication without validation. With governance, the same AI tool produces the same output. But a governance layer validates it at the point of interaction. Issues are caught before they create consequences.

The governed legal department does not use AI less. It uses AI with the same intensity but with enforceable controls that ensure every interaction is validated, every exception is managed and every decision is traceable.

How J-10 governs AI across the legal department

J-10 provides enforceable, two-way governance for CoCounsel, Harvey and any other AI tool used within the legal department and across the wider enterprise.

On the input side, J-10 enforces data classification, matter-level restrictions and privilege controls at the point of interaction. On the output side, J-10 validates AI-generated content against clause libraries, regulatory databases, accuracy standards and enterprise policies before outputs enter any downstream workflow.

J-10 works across the legal technology stack: matter management, CLM, HighQ, Legal Tracker, document management and enterprise platforms. Governance does not stop at the boundary of the AI tool. It follows the data wherever it goes.

Every governed interaction produces audit-grade evidence automatically. When the General Counsel, the board or the regulator asks how AI is governed in the legal department, the answer is not a policy document. It is a continuous, complete, tamper-proof record of every governed AI interaction across every tool and every system.

To learn more about governing AI across your legal department with J-10, visit j10.ai or contact the Jalubro team to book a briefing.