Preparing for 2027 RFI and RFP Cycles: Where Agentic AI Case Intelligence Fits
Editor’s Note: As legal departments prepare their 2027 budgets and provider evaluations, agentic AI brings new questions to the RFI and RFP process. Speed matters, but teams also need to examine how providers connect findings to evidence, protect sensitive data, and support professional judgment. Evaluations should address whether AI surfaces contrary evidence and gives reviewers the source material they need to check its conclusions. This article outlines practical questions for assessing those capabilities and explains how CaseBot™ for HaystackID® Core Intelligence AI™ approaches substantive casework. It examines evidence exploration, specialized workflows, and the privacy controls that govern client documents, prompts, and responses. For teams planning their next provider review, these considerations offer a starting point for assessing how AI fits their matters and what they need to verify before relying on its findings.
Preparing for 2027 RFI and RFP Cycles: Where Agentic AI Case Intelligence Fits
By HaystackID Staff
For many corporate legal departments, the fourth quarter is when the next year takes shape. Budgets are set, provider relationships are reviewed, and RFI and RFP processes begin for litigation, investigation, compliance, and eDiscovery support. In 2027 planning cycles, one evaluation area is likely to receive more attention than in years past: how providers apply AI to substantive case work, and how they protect the data that AI touches.
This post outlines questions legal teams may want to include in their evaluations and describes how CaseBot™ for HaystackID® Core Intelligence AI™ addresses them.
Questions Worth Asking AI Providers
As AI moves from document classification into fact development and case strategy, evaluation criteria tend to shift from speed alone to defensibility. Questions that can help separate capabilities include:
- Does the AI connect its findings to specific source documents and passages that reviewers can check?
- Does it surface contrary evidence, or only material that supports a working theory?
- Are client documents, prompts, or responses used to train or fine-tune language models?
- Where is client data processed and stored, and is it segregated from other clients?
- Who is responsible for validating AI-generated findings before they are relied upon?
What CaseBot Does
CaseBot is an agentic AI case intelligence platform designed to help legal teams work directly with the matter record. It supports evidence exploration, complex investigations, fact development, and theory testing, and it offers two complementary ways to work with matter data.
- Natural-Language Exploration: Legal teams can ask focused questions about facts, events, people, claims, and relationships, then continue the investigation through follow-up questions.
- Eight Specialized Skill Agents: Purpose-built workflows for Fact Narrative, Chronology, Entity Map, Hot Document Finder, Deposition Kit, Claim Analysis, Request Analysis, and Record Check.
Findings Tied to the Record
CaseBot combines evidence retrieval with AI analysis through a persistent, searchable matter index. It can retrieve relevant evidence, take additional investigative steps, compare supporting and contrary information, and link its analysis to source documents and passages. That linkage lets legal teams review context and validate findings rather than accept a summary at face value.
Designed for Sensitive Legal Work
CaseBot was built around the privacy and security requirements of legal matters. Client documents, prompts, and responses are not used to train or fine-tune language models. CaseBot operates within a secure Azure environment with segregated client processing and storage. Legal professionals remain responsible for validating findings and applying professional judgment, keeping accountability where it belongs.
Part of a Broader Portfolio
CaseBot complements HaystackID’s capabilities across Global Advisory, Cybersecurity, HaystackID® Case Insight™, ReviewRight® Global Managed Review, and HaystackID® CoreFlex™, giving legal teams one provider for advisory, cyber, AI-enabled analysis, review, and flexible delivery needs.
Including HaystackID in Your 2027 Evaluation
If your organization is preparing an RFI or RFP for 2027, HaystackID would welcome the opportunity to participate. We can provide a standard RFI response package, security and compliance documentation, and client references on request. The CaseBot fact sheet is available here.
To schedule a briefing or CaseBot demonstration, contact Scott Sterkel, Executive Vice President of Sales and Sales Operations, at [email protected].
About HaystackID®
HaystackID® solves complex data challenges related to legal, compliance, regulatory, and cyber requirements. Core offerings include Global Advisory, Cybersecurity, Core Intelligence AI™, and ReviewRight® Global Managed Review, supported by its unified CoreFlex™ service interface and eDiscovery AI® technology. Recognized globally by industry leaders, including Chambers, Gartner, IDC, and Legaltech News, HaystackID helps corporations and legal practices manage data gravity, where information demands action, and workflow gravity, where critical requirements demand coordinated expertise, delivering innovative solutions with a continual focus on security, privacy, and integrity. Learn more at HaystackID.com.
Assisted by GAI and LLM technologies.
Source: HaystackID