A look at how AI agents are helping law firm BD teams move from partner request to client-ready pitch with greater speed, context, and confidence.
BD professionals at law firms know exactly how this goes. A partner sends an email: "We need a capability statement for Luxe Cosmetics with an IP focus. They want it by Friday." Despite the tight deadline, the client expects a tailored response. And, the content you need, everything from bios, approved slides and case studies, is scattered across various shared folders, firm knowledge libraries, and most likely, someone’s sent folder.
That's before anyone has even thought about strategy.
That was the starting point of our latest LegalTech Hub product briefing, where I had the pleasure of walking through the 2026 QorusDocs update and sharing some of the cool new capabilities we’re building into the pitch process and how agentic AI is changing the way law firms approach proposals.
Of course, when it comes to getting pitches and proposals out the door, speed matters. But perhaps the biggest challenge is not just producing a document, it’s producing the right document.
A strong pitch needs to reflect the client’s situation, the firm’s relevant experience, the right team, the needed proof points, and a strong strategic angle. To get the go-ahead, it must be persuasive.
For years, technology has helped automate parts of that process. There’s no doubt that templates, content libraries, and proposal automation tools have made a huge difference.
But now agentic AI takes it up a notch or two. Instead of simply helping users find or generate content, agents can help carry out multi-step workflows. They can read inputs, summarize context, search firm knowledge, identify relevant content, recommend next steps, and help assemble a strong first version of the deliverable.
QorusDocs has been building AI into its platform since 2019, giving us a strong footing for the agentic capabilities that were introduced in the 2026 update. The platform is built on Microsoft Azure and OpenAI’s large language models, with a proprietary QorusDocs layer designed specifically for legal business development workflows.
Just as important, we are building these capabilities with a deep understanding of how large, advanced law firms actually work. QorusDocs partners with firms across innovation, technology, and business development teams, which gives us a broad view of the best practices, practical requirements, and real-world situations that shape successful legal pitching.
In the LegalTech Hub demo, I started with a familiar scenario: a partner email about the Luxe Cosmetics opportunity, plus a call transcript with additional context. From those inputs, QorusDocs agents ran in the background and produced three things: a client pitch summary, a go/no-go recommendation, and a prep packet covering client preferences, relevant experience and potential team members.
This prep packet means that before anyone opens PowerPoint, the BD team can make sure that they've got all the fundamentals of what they want in this pitch. They can sit down with the lead partner and ask the questions that actually shape a strong pitch: Are these the right matters? Is this the right team? What's the angle? Getting that foundation right, earlier in the process, is where most pitches are won or lost.
Once the prep packet is signed off, QorusDocs builds out a highly polished, professional looking PowerPoint with the client’s name, team members, practice group information, relevant experience, awards, supporting slides, etc. Pro bono content can also be pulled in directly if needed. It only takes seconds, compared to days.
While agentic AI can help gather context and assemble a strong first version of a pitch, it can never own the client relationship. Ai has no clue which issues are sensitive for the client or which aspect of the proposal needs to be really emphasized.
That's the BD professional's job, and it remains so. It’s up to them to interpret the opportunity. And, they’re the ones who sharpen the story and decide what belongs in the pitch and what should stay out.
What agentic AI changes is what they're doing with their time. Instead of five or more hours sourcing bios and chasing approvals, they spend that time on the questions that improve the pitch: What does this client actually need to hear? What does "understanding the business issue behind the legal need" look like for this particular company?
The goal isn't to remove human judgment from the process. It's to remove the grunt work that crowds it out, so the humans in the loop can do what they do best, be creative and add their unique understanding to the proposal process.
For legal firms evaluating AI pitch and proposal technology, the real test of any proposal software is whether or not it understands legal pitch workflows and works the way you do.
Look for AI that connects to approved content and integrates with the familiar tools that your teams already use day-in, day-out. Things like the ability to support human review, and track what happens after the pitch is delivered are also essential “must-haves.”
Beyond generating content faster, the ultimate goal is to create better, more relevant client-facing materials with a whole lot less manual effort, and strong governance.
I honestly don’t believe AI replaces the judgment of experienced lawyers, BD leaders, or pitch professionals. Absolutely not. The very best legal pitches still depend on human understanding that requires nuance and judgment.
But I do believe AI can get rid of a great deal of unnecessary manual work from the proposal process.
This is what excites me about this next stage of legal business development technology. We’re moving beyond tools that simply help create documents and into a period where intelligent, agentic systems can help firms manage the full pursuit workflow – from the first partner request to the final client-ready deliverable.
Watch the LegalTech Hub 2026 QorusDocs Product Briefing to see the workflow in action.
Interested in modernizing your firm’s pitch and proposal process? Book a QorusDocs demo.