Legal Contract Management Trends in the AI Era
Corporate legal contract management is shifting from experimental generative AI tools to governed, end-to-end agentic platforms embedded across the agreement lifecycle. Here is how AI agents, natural language search, and unified agreement platforms like Docusign Intelligent Agreement Management (IAM) are transforming corporate legal work.
As more corporate legal teams gain access and adapt to AI, the technology is moving from experimental to embedded, revealing new, time-saving applications. Many ask, what will it mean for the future of legal work? How will team structures change? Will AI eliminate opportunities or create new ones?
Through the latest research and insights from legal leaders at Docusign, this article explores how agents, natural language processing, and end-to-end platforms will change the way legal departments handle agreements, as well as the changing role of the corporate legal professional.
Key takeaways include:
AI will be embedded across the end-to-end contract lifecycle in practical, governable ways.
Agents can assist with repetitive, multi-step tasks, freeing legal professionals to focus on strategy.
Guardrails, human oversight, and audit trails will be critical for any agentic workflow.
End-to-end AI platforms will connect agreement data to surface searchable, explainable insights.
AI fluency will become essential among legal professionals as AI expands.
AI will continue to change how legal teams work on agreements
In 2026, legal teams are seeing the shift from AI as an experimental tool to an integral technology. Pete Seeger, Vice President and Deputy General Counsel of Commercial Growth and Trust at Docusign, has noticed widespread acceptance of this new way of working in conversations with peers across the legal field. “Everyone I’ve talked to recognizes that the world has changed,” said Seeger. “There’s no one I talk to who believes this is hype."
Agents are taking on more work across the agreement lifecycle and end-to-end AI platforms are consolidating data for deeper insights. At the same time, companies are defining clear boundaries for what AI can access, what it can generate, when human review is required, and how activity is logged.
The broader transformation: with AI, legal teams spend less time on manual coordination, document hunting, and first-pass administrative work, giving them greater agency to make faster and more informed decisions without giving up control of legal judgment.
Agents will go mainstream for contracting
According to Deloitte’s 2026 State of AI report opens in a new tab, workforce-sanctioned AI tools rose 50% in the past year. While only 23% of companies were using agents at least moderately as of February 2026, 74% plan to deploy agentic AI over the next two years.
Agents go beyond generative AI by achieving goals with less human mediation. Legal professionals have already been using generative AI to compare clauses against standardized playbooks and surface terms from their contract portfolios, but agents are helping them unlock more powerful use cases. For example, they can now ask agents in natural language to show them all contracts with specific clauses or phrases. They can also automate workflows like intake by assigning agents to review incoming documents, classify requests, extract key details, assign risk tiers, update fields, and recommend reviewers.
As AI capabilities mature, more legal teams will evaluate workflow automation for well-defined contracting tasks. In practice, the near-term opportunity is not about fully autonomous legal work and more about governed systems that can help with intake, first-pass review, clause analysis, comparison against playbooks, obligation tracking, and routing while keeping legal professionals responsible for approvals, exceptions, and risk decisions.
For in-house legal teams, the trust line is clear: AI can accelerate the work, but it should not obscure where an answer came from, what data was used, or who approved the next step. That makes explainability, audit history, and human checkpoints essential to these technologies, not optional.
Centralized AI-powered contract repositories streamline decision-making
Contract management remains fragmented at many companies, with documents scattered across employees’ desktops, emails, Slack messages, and shared folders. This disparate management system makes it nearly impossible to quickly find important documents. Even more challenging is surfacing information embedded within those agreements with a clearer system of record, role-based access, and a defensible history of what changed, when, and why.
Modern contract management technology addresses this challenge by providing a single repository for storing and managing agreements. With an end-to-end AI-powered agreement management platform like Docusign Intelligent Agreement Management (IAM), teams can connect agreements across the business and surface valuable insights in seconds.
Say a company is about to be acquired, and legal needs to audit hundreds of company agreements. To find out if any contracts are missing mandatory arbitration clauses, all legal has to do is ask Iris, Docusign’s native AI engine. Iris can quickly surface the information, providing the critical insights the team needs. Moving on to the next natural step, Iris can be asked to generate new contracts with missing clauses.
See how legal teams can use an AI assistant and agentic workflows to audit thousands of agreements under strict deadlines
The same principle applies to sales and procurement contracts. Sales and procurement professionals often ask legal for help when they have questions about client and vendor contracts, despite managing these relationships and obligations themselves. Now, rather than involve legal, sales and procurement professionals can use natural language to ask the AI questions about contract terms, obligations, deviations and risks, and opportunities, enabling faster, more informed decisions.
Questions legal, sales, and procurement can ask contract AI
Legal | Which contracts are out of compliance with current laws or local requirements? Where do our agreements deviate from approved fallback positions on liability and other key terms? Where are risk patterns emerging across the portfolio that leadership should act on? |
Sales | Which contract terms correlate with churn, short-term customers, or weak renewals? Which accounts are approaching renewal, and where do we have expansion risk or opportunity? Which deals truly need legal review, and which can be triaged faster with AI? |
Procurement | Which vendor contracts are at risk of auto-renewal or missed notice windows? Where are we missing negotiated discounts, rebates, service level agreements (SLAs), or credits? Where is value leaking across the portfolio, and what should we renegotiate first? |
Built-in contracting governance will become critical
As teams expand AI use in contracting, robust guardrails will be essential. Many leaders are already uncertain about their organization’s approach to AI governance. According to Deloitte’s report opens in a new tab, only 21% of corporate leaders say they have a mature model to govern agents despite many planning to deploy them in the next two years.
Corporate leadership and legal teams will need to create layers of accountability opens in a new tab before deploying agents within their workflows and contract processes. Just as electronic signatures are traceable to a signer and supported by a certificate of completion, agentic work should be attributable, reviewable, and traceable to a person of authority. Companies should create clear criteria for what an agent can do, define what data those workflows can access, set approved-use boundaries for privileged or sensitive information, maintain detailed activity logs, and build human checkpoints throughout agentic workflows. Establishing these 'human-in-the-loop' (HITL) approval gates ensures that, while agents handle execution and drafting, human judgment remains the final sign-off for binding commitments and risk exposure. Combined, these safeguards can help build trust in AI while minimizing risk.
For in-house legal teams, governance also means being explicit about data use, including what is and is not uploaded, whether inputs are retained, how privilege is protected if necessary, what systems are approved, and how outputs can be validated before they are relied on.
End-to-end AI platforms will replace disconnected systems
Many organizations operate with a patchwork of systems. According to a global study by Deloitte and Docusign, 72% of organizations rely on several separate tools for contract management. These silos make it harder to share data, gather insights, and act strategically.
The solution is a connected, end-to-end AI platform for contract management. With technology like Model Context Protocol (MCP), Docusign IAM can be connected with platforms like Gemini, ChatGPT, and Claude. Once Docusign IAM is connected, teams can access their agreements and surface insights in the platforms where they already work. For legal teams, that only works if the platform fits into existing workflows. Users need to be able to access agreement data and act on it in places like Word, Outlook, Salesforce, and connected enterprise systems, rather than being forced into yet another disconnected destination.
Organizations adopting this approach are already seeing tangible business impact. Deloitte and Docusign found that organizations with end-to-end platforms leveraging agentic workflows realized 29% higher ROI. These improved returns are attributable in part to shorter contract turnaround times, which allow businesses to start earning revenue faster. AI-powered contract management tools can also help teams reduce contract value leakage by alerting them to upcoming renewals, milestones, and obligations for more informed contracting decisions. By replacing redundant point solutions with an end-to-end AI platform, businesses can consolidate their technology spend for greater savings.
The advantage of a connected platform is not novelty. It’s control: one place to manage agreements, clearer visibility across the lifecycle, and AI features that are tied to approved templates, playbooks, workflows, and records, not floating outside the system of record.
Legal team structure and roles for contracting will change
Legal teams and roles are already evolving with AI, and this evolution will continue as attorneys increasingly delegate tasks to agents that can assist with defined parts of the contracting process. Yet, one thing will remain essential: human oversight. The legal teams that benefit most will be those that think critically about where AI can automate, where human judgment is imperative, and how legal expertise can advance their organization in new ways.
Repetitive tasks will be automated and streamlined
AI will continue to address time-consuming manual tasks throughout the contract lifecycle, beginning with contract review. In many legal teams, AI is increasingly being used for first-pass review so legal professionals can focus their time on material changes, negotiation strategy, and business judgment. Technology like AI-Assisted Review in Docusign IAM expedites contracting by analyzing drafts against commercial playbooks, flagging potential risks or noncompliance, suggesting changes, and explaining those changes to reviewers.
“In describing this transformation, I often say ‘AI is becoming more and more like a co-lawyer or like a junior lawyer that can help you execute ever more complex tasks,’” Seeger said in this recent blog post about AI’s influence on contracting workflows.
Seeger also shared that AI is poised to play a greater role in negotiations. Negotiations used to require legal professionals to manually trade redlines and comments in Microsoft Word, but increasingly, AI-powered contract management solutions are accelerating this work by exchanging language, tracking positions, and producing revised drafts in minutes under the review of a human legal professional. Human review and approval will remain essential, especially to prevent AI from over-redlining clauses with purely cosmetic changes that do not impact risk and can create more work instead of reducing it. Forward-thinking legal teams will start to treat agents as high-speed prep engines, operating strictly within predefined parameters, while keeping attorneys in control of the final terms.
Finally, upper-tier legal professionals will be freed from answering repetitive questions about non-legal matters throughout the contracting process. When a colleague asks a question, AI can automatically generate a response based on the experience of veteran legal professionals. The legal professional can then review the response and send it, freeing up time that would otherwise have been spent on email and Slack.
AI will create new responsibilities
With AI automating repetitive, low-skill tasks, legal professionals will find more time for strategic initiatives and higher-risk matters. New roles and responsibilities will emerge as a result.
Jim Shaughnessy, Docusign's Chief Legal Officer, has seen this evolution within his own legal department, where he’s focused on building a culture of AI innovation. A new role recently emerged around helping colleagues, customers, and prospects understand how Docusign’s legal team uses Docusign technology. In another new role, a team member provides legal expertise to customer success and sales, helping them implement and configure AI-powered agreement workflows for customers.
As Shaughnessy sees it, legal teams should invest productivity gains back into the company, enabling the department to become a strategic partner and drive revenue rather than remain a cost center focused on risk avoidance. Bringing legal expertise to other business functions and customers can create new types of roles.
AI fluency will be expected
AI fluency is becoming a necessity for legal professionals, with the expectation that legal staff should be able to understand how AI works, evaluate its outputs, identify appropriate use cases, recognize limitations, and incorporate it responsibly into their workflows within company policy and approved systems.
Legal teams will also need to help the broader organization and clients use AI effectively. According to Seeger, forward-deployed lawyers will become common. These professionals, and their supporting legal professional counterparts, combine legal expertise with an understanding of solutions engineering, allowing them to configure AI legal technology to address a business’s needs without losing sight of governance, defensibility, and review standards. “They deeply understand a customer’s specific agreement workflows to deploy flexible, AI-powered software that alleviates pain points,” said Seeger. “This is taking shape in my own department and its workflows.” Teams will also need to think about how newer legal professionals build legal judgment in an AI-assisted environment. As first-pass work becomes faster, training and review practices will need to evolve too so that efficiency gains do not come at the expense of legal development.
Automate your contract workflows with an end-to-end AI platform
As agents become more capable, they’ll increasingly improve efficiency, free up time for strategic work, and surface agreement insights faster by reducing manual process drag. To realize these benefits, however, the proper technology, workflows, and guardrails must be in place.
Docusign IAM helps legal teams automate the agreement lifecycle within a single, connected platform. With IAM, legal teams can minimize manual tasks while ensuring precision and control through AI-powered analysis, playbook-driven reviews, and defensible history. It’s designed to help teams work in a governed, explainable way with clear records, role-based controls, and workflows that fit alongside the systems legal and the business already use.
Frequently asked questions
What are the biggest legal trends in contracting for 2026?
The biggest trends include the rise of agents, greater automation of repetitive legal work, stronger AI governance, connected agreement workflows, and the emergence of new legal roles centered on technology and AI fluency.
How will agents change legal work for contracting?
Agents will move beyond generating content to executing multi-step workflows. In legal, this could include triaging contract requests, reviewing agreements against playbooks, monitoring obligations, preparing renewal briefs, and initiating next steps. Human oversight will remain important for -risk decisions.
How should legal contracting teams govern AI?
Corporate legal teams should establish clear rules for what AI can access and do, define when human review is required, maintain appropriate audit trails, and align oversight to the risk and complexity of each task. They should also define approved-use boundaries for privileged and sensitive information, document how outputs are reviewed, and ensure teams can explain where results came from before relying on them. Governance should be built into every AI-powered workflow.
Krysta Johnson is a senior product marketing manager for legal solutions at Docusign.
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