A blended legal team combines three sources of legal capacity under in-house direction. In-house counsel hold the business relationships, institutional knowledge and final judgment. Law firms handle matters that call for a coordinated bench, specialist depth or litigation infrastructure. Flexible legal talent, meaning experienced attorneys and legal professionals engaged for a project or on an interim basis, provides additional capacity and specialized expertise as needs arise. The model is most effective when each resource is aligned to the work it handles best and in-house leadership directs that alignment.
Most legal departments already operate this way to some degree, although the mix is often set by precedent. A firm retains a category of work because it handled the last comparable matter, a backlog remains with the in-house team because it was never formally scoped, and interim coverage is arranged only after a gap has emerged.
Annual planning provides an opportunity to revisit that mix with intention. CLOC’s 2026 State of the Industry Report points to rising workloads alongside more limited growth in budget and headcount. AI introduces a further variable, with the potential to change long-standing assumptions about which work warrants permanent headcount, which matters benefit most from a firm and where human judgment delivers the greatest value. Many legal leaders are building their 2027 plans before the full effect of AI on their workload is clear. A well-designed blended model preserves the flexibility to adjust as that effect becomes evident. The five questions below are intended to help legal leaders test the plan they already have.
1. What work did your team absorb this year, and what did it displace?
Work absorbed informally over the course of a year is easy to overlook in planning, yet it carries a real cost. A contract backlog that occupies a senior attorney’s time for months draws that attorney away from higher-value strategic work.
Duration and reliance on institutional knowledge are useful lenses for evaluating these needs. Sustained work that depends on close business relationships generally supports the case for a permanent hire. Work with a defined endpoint, such as clearing a backlog or launching a program, is often better suited to project-based support.
AI should factor into this assessment as well. Volume in areas such as NDA review, first-pass contract markups and routine research is likely to decrease as AI tools mature, which makes it prudent to estimate what AI could reasonably absorb in 2027 before committing to new headcount. Reviewing AI output, resolving exceptions and making final determinations continue to require experienced legal judgment, and that responsibility typically falls to senior members of the team.
Put it into practice: Identify the three largest categories of absorbed work from 2026. For each, assess whether it is likely to continue in 2027, how much AI could handle and how much experienced review the remaining work would require.
2. Where are your coverage gaps, and when do they open?
Parental leave, planned departures, product launches and quarter-end contracting peaks are typically visible months in advance. Coverage for them, however, is often arranged only once the gap has already affected the work.
AI adoption introduces gaps of its own. Implementing a new tool requires significant time from the people who understand existing workflows best, including configuration, output testing and colleague training. Some departments are also deferring hires while they evaluate how AI will change specific roles. Interim support maintains continuity in both situations without requiring a premature commitment to a role definition that may evolve.
Recent hiring timelines offer a practical benchmark. If counsel hires have taken five months from approval to start date, a role approved in February may not be fully productive until the summer.
Put it into practice: Plot 2027’s anticipated gaps on a single timeline, including AI implementations and any roles deferred pending an AI assessment. Work backward from each to determine when support should be in place, allowing time for onboarding.
3. Where do firms add the most value?
Certain matters benefit from a firm’s coordinated team, specialist bench and infrastructure. Others are well served by a single experienced attorney working closely with the in-house team.
AI is likely to expand that second category, as matters that once required a firm team become manageable closer to the business. Stephen George, Chief Legal Officer at Endless West and General Counsel at Voyage Foods, described this progression: “We started with a narrow scope and quickly realized our Priori attorney could support across multiple teams. Eventually, we expanded their role to include work that would have gone to outside counsel.”
For continuing firm relationships, a direct conversation about how each firm applies AI to your matters, and how that is reflected in staffing and pricing, is increasingly appropriate. Any comparison of options should also account for the internal time spent briefing, supervising and reviewing the work.
Put it into practice: Review your five largest firm engagements from 2026. For each, evaluate whether the work required firm infrastructure or a single strong attorney, and how the firm’s use of AI influenced the engagement.
4. What expertise will 2027 require that your team does not have?
AI is also generating new legal demand. AI governance, AI vendor contracting, data privacy and an evolving regulatory landscape call for expertise that many in-house teams are still developing, and legal operations functions may require support in selecting and implementing AI tools. Many of these needs are time-bound.
A permanent hire for a time-bound need can leave a department with specialized expertise and limited specialized work once the initiative concludes. A specialist engaged for the initiative can accelerate progress, particularly when playbooks, policies and templates are defined as deliverables that remain with the team.
Put it into practice: Confirm with business stakeholders which 2027 initiatives are planned and which involve deploying AI. For each, identify the expertise required and whether the need is likely to conclude with the initiative.
5. What will enable you to bring in support quickly when needed?
When a need arises, provider selection and internal review processes can delay the start of work. Groundwork laid during planning shortens that timeline considerably.
That groundwork includes establishing how providers are selected, which reviews apply (procurement, security, conflicts) and who on the in-house team will direct the work. AI adds a further consideration in the form of clear policies on whether and how outside attorneys may use AI on your matters. Resolving those expectations in advance prevents avoidable delays once an engagement begins.
Put it into practice: For one anticipated 2027 need, outline the path from request to start date, including a provider option, an internal owner and the required reviews.
Keep the mix under review
AI will continue to reshape legal work throughout 2027. Periodic review of capacity, spend, the work AI has absorbed and the areas where outside expertise added value will keep the plan aligned with the department’s needs.
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