With Legalweek 2026 set to open Monday in New York City, legal technology companies have been rolling out a string of product announcements and company news in the days leading up to the conference. The pre-conference wave covers a range of developments, from new AI platforms and funding rounds to enhancements in e-discovery tools and knowledge management. Here is a roundup of the announcements issued over the past week.
DISCO Launches All-Inclusive Platform and Transparent Pricing Model
DISCO (NYSE: LAW), the litigation technology company, announced a new all-inclusive platform that bundles its e-discovery, Cecilia AI, deposition management, and timelines capabilities into a single offering at a single price. Previously, some of these tools — including the deposition and timelines product formerly known as Case Builder — were sold separately. The consolidated platform also incorporates DISCO’s newly announced agentic AI product for e-discovery at no additional charge.
The company said that the platform launch is a response to what it described as the growing inadequacy of one-off e-discovery products in an era of fast-evolving generative AI. CEO Eric Friedrichsen said the goal is to assemble “the most impactful tools for modern litigation into a seamless end-to-end solution” with an emphasis on user experience as well as capability.
Alongside the platform announcement, DISCO introduced a new pricing approach: a single, transparent per-gigabyte price on processed data, with no ingest fees. The company said the pricing model is designed to enable clearer like-for-like cost comparisons and to make it simpler for customers to access its full suite of technology at a predictable cost.
Chief Product, Technology and Strategy Officer Richard Crum characterized the move as part of a broader commitment to building integrated tools rather than point solutions.
DISCO will be demonstrating the new platform and its agentic AI capabilities at its Legalweek booth.
Advocacy Emerges From Stealth With $3.5 Million Seed Round
Advocacy, which describes itself as an AI-native, context-first litigation workspace, emerged from stealth and announced it has raised $3.5 million in seed funding.
The round was led by Relentless and also included participation from Relativity, through its innovation arm Relativity Labs, Am Law 100 firm Fenwick & West, prominent legal scholars from T14 law schools, and a consortium of partners ranging from Big Law firms to litigation boutiques.
The company’s core premise is that litigation AI needs to go beyond discrete task assistance and instead serve as a “memory-driven infrastructure” that maintains continuous context across the lifecycle of a matter. Advocacy says its platform centralizes case intelligence — which typically lives in disconnected e-discovery tools, legal research platforms, and attorneys’ own notes — into a unified case memory layer that informs research, drafting, analysis and strategy.
The latest release expands Advocacy’s proprietary memory layer across the surfaces where litigation work occurs, including the ability to ingest raw audio and video evidence and map it into a centralized case timeline. CEO and cofounder Téo Doremus said the company has proven its model “in the trenches” with leading practitioners before emerging from stealth. The company says it is now deployed with paying clients and running active pilots with top-tier firms.
With the new funding, Advocacy plans to expand its product and engineering teams, deepen partnerships including its ongoing collaboration with Relativity, and hire specialized legal alignment experts to work directly with practice groups. The company was also recently named a finalist for the Legalweek Leaders in Tech Law Awards in the Litigation Technology category and will be on-site at the conference.
iManage Advances Insight+ to Address AI Governance Gap
iManage announced a set of enhancements to Insight+, its knowledge search and management product, aimed at helping organizations better connect documents, business data, and metadata across the iManage platform. The updates include enterprise-scale metadata indexing, deeper integration with external data sources, and multi-region deployment support — capabilities the company says enable organizations to generate more reliable AI-driven insights while maintaining centralized governance.
The announcement is tied to findings from iManage’s Knowledge Work Benchmark Report 2026, which highlights what the company describes as a widening disconnect between AI adoption and knowledge governance readiness. Among the report’s findings: 36% of organizations have already experienced document policy violations tied to AI usage, yet only two-thirds have centralized storage and formal governance controls in place. A quarter of employees are reportedly using publicly available AI tools with limited oversight, creating content fragmentation at the same moment that contextual intelligence is becoming a competitive differentiator.
The Insight+ enhancements include a new data warehouse integration capability that unifies structured business data — on matters, clients, and personnel — with unstructured content, eliminating the need to fragment knowledge across multiple systems. A knowledge discovery and matter analytics capability enables users to identify precedent across the entire document management system and compare matters based on commercial terms and context. Multi-region deployment maintains data sovereignty and regulatory compliance while preserving unified discoverability. An expertise discovery capability, currently in development, will surface expert knowledge based on demonstrated work product and matter involvement.
CEO Neil Araujo said that organizations are not struggling to access AI so much as they are struggling to ensure AI can correctly interpret their knowledge.
iManage will showcase these capabilities at Legalweek (Booth #116) and simultaneously at the British Legal Technology Forum in London on March 10.
Monjur Launches AI-Powered Legal Assistant for Managed Service Providers
Monjur, a contract intelligence company focused on the managed service provider (MSP) market, announced the launch of Monjur Pilot, an AI-powered contracting platform designed specifically for MSPs and built with built-in attorney supervision. The product is intended for non-legal professionals at MSPs who need to answer contract questions, automate redlining, and manage negotiations without slowing down deals or increasing legal risk.
Built on a proprietary document library, three pending patents, and what Monjur describes as decades of experience serving more than 1,000 MSPs, the platform automates routine contractual decisions while escalating uncertain situations to experienced MSP attorneys for review. Monjur Pilot integrates directly with tools MSPs already use in their sales workflows, including PSA, quoting, and sales platforms such as ConnectWise, Kaseya, Halo, and Quoter.
CEO and co-founder Rob Scott said the product addresses what he sees as a binary and unattractive choice that MSPs currently face: slow and expensive outside counsel on one side, or risky DIY contract language generated by unsupervised AI tools on the other. Monjur Pilot aims to offer a middle path, combining the speed and automation of AI with attorney oversight that keeps the output reliable.
The company provided a customer testimonial from Todd Swaney, COO of Centre Technologies, a Houston-based MSP, who described using Monjur Pilot to field urgent contract redline requests from a salesperson while sitting on a grounded airplane — receiving multiple options with plain-English explanations of the associated risk and responding within 45 minutes. Monjur serves MSPs across the United States and Canada.
Reveal Brings Enterprise AI and Global Expansion to Logikcull Platform
Reveal, the e-discovery and investigations platform company, announced a significant round of investments in Logikcull, the self-service discovery automation platform it acquired in 2022. The company positioned the enhancements as a statement of its strategic commitment to Logikcull as a premier solution for corporate legal departments, state and local government agencies, and law firms that prefer a simpler, more affordable discovery tool.
The most significant addition is the integration of ASK, Reveal’s purpose-built generative AI tool for fact-finding, data synthesis, and analysis, now available directly within Logikcull. ASK allows users to ask questions in plain English and receive narrative answers backed by verifiable sources, without requiring Boolean search expertise or keyword guesswork.
Reveal Chief Data Scientist Dr. Irina Matveeva said ASK can speed early case assessment and data exploration, and that the company’s AI Pledge ensures user data stays private and does not train external models.
Logikcull also now integrates natively with Onna, Reveal’s collaboration data collection and management platform. The integration allows legal teams to collect data directly from Slack, Microsoft Teams, Google Workspace, Zoom, Salesforce, and other platforms, then move immediately into Logikcull for search, review, and production — with no manual downloading or intermediate steps.
The combination spans preservation, collection, early case assessment, search, review, and production, underscoring Reveal’s stated goal of building a fully integrated, end-to-end eDiscovery suite.
On the infrastructure side, Logikcull is now available with European cloud hosting, enabling organizations subject to GDPR and regional data residency requirements to use the platform while maintaining data sovereignty. The company also introduced new pay-as-you-go pricing to complement its existing flat-rate model, giving legal departments more flexibility to align payment structures with their specific usage patterns and budget needs.
ChronoTracer Introduces AI That Queries Structured Evidence Databases
ChronoTracer, an Austin-based litigation and investigations technology company, announced new AI capabilities and a redesigned interface that introduce a conversational query layer on top of its structured evidence database.
The company says that the release is notable for a technical architecture that distinguishes ChronoTracer from most legal AI tools. Rather than directing an AI model to search and summarize raw documents, the platform first runs evidence through a deterministic processing pipeline that converts it into a structured database of discrete events, each tagged by date, participants, type and source.
The new AI assistant then queries that pre-built database directly, returning actual events with source citations rather than generated summaries. The practical result, the company says, is that legal teams can ask plain-language questions — such as “Show all communications between the parties in the two weeks before the merger announcement” — and receive chronological results anchored to the underlying evidence.
CTO and co-founder Dexter Weiss described the architecture as “fundamentally different” from the typical litigation AI approach and designed to reliably reconstruct what actually happened.
The release also introduces an integrated identities layer that associates phone numbers, email addresses, social media handles, and other identifiers with specific individuals in a case, giving teams a unified view of each person’s activity across communication channels. CEO and co-founder Richard Gorelick said the platform is designed to give every member of a litigation team the same level of command over the facts that is typically held only by the one attorney who has spent months immersed in the file.
InnovAItion Partners and LIMELIGHT Launch ALIGN Network for Law Firm Marketing Leaders
InnovAItion Partners and LIMELIGHT, a growth communications advisory firm, announced the launch of ALIGN — the AI Leader Innovation Growth Network — a new professional community targeted at marketing and communications leaders inside professional services firms. The joint venture is positioned as a response to what its founders describe as an “AI reckoning” in law firm marketing, where executives are being handed significant AI transformation responsibilities and budgets without adequate peer support or practical guidance.
Membership is application-based and aimed at senior marketing, communications, and business development leaders at Am Law 100 and 200 firms, leading accounting firms, and premier consulting practices. ALIGN’s model is deliberately selective, positioning itself as distinct from broader industry conferences by focusing on implementation and peer exchange rather than programming at scale. The network will hold quarterly working sessions structured as hands-on gatherings for dissecting real AI deployments, analyzing ROI outcomes, and challenging vendor claims, as well as executive dinners and a private digital community.
Guy Alvarez, co-founder of InnovAItion Partners and ALIGN, said that marketing leaders are “being asked to fundamentally re-engineer how their firms pursue revenue, manage brand authority, and compete” and deserve a community built specifically for that level of responsibility. Kenny Gary, CEO of LIMELIGHT and ALIGN co-founder, added that communications professionals now find themselves acting as transformation officers whether they planned to or not.
The inaugural ALIGN convening is planned for New York City in spring 2026, with additional markets to follow. Membership will be capped in the first year, and limited sponsorship opportunities will be available for technology providers willing to engage in what the founders describe as “transparent, high-substance dialogue” with qualified decision-makers.
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