12x faster research turnaround. 95% case-law coverage. Zero overruled citations missed.
Your junior associates spend 60% of their billable hours on legal research. That is not a value judgment, it is an economic problem. A single motion-to-dismiss brief requires four to eight hours of deep research across Westlaw, LexisNexis, and your firm's own work product. For a firm with 10 to 50 attorneys, those hours multiply into thousands of non-billable or under-recovered research hours every quarter. Meanwhile, institutional clients with legal-spend analytics are pushing back on research line items they consider excessive.
The accuracy problem compounds the cost problem. Even experienced associates miss relevant precedent 15 to 20 percent of the time. A single missed case, an overlooked ruling, an unreported overruling, or a recent statutory amendment can mean the difference between winning and losing a motion. Partners know this, which is why they often re-review research that associates have already completed, doubling the firm's internal cost.
Worse, your firm's institutional knowledge is trapped in individual minds and in closed-matter folders. An associate researching a breach-of-fiduciary-duty question for a Delaware LLC dispute has no idea that a partner handled a nearly identical matter 18 months ago and drafted a comprehensive memo that is sitting in your DMS gathering digital dust. Research is duplicated constantly because there is no systematic way to surface prior work product at the moment it is needed.
Marcus is your AI Legal Research & Case Analyst. He pulls case law from Westlaw and LexisNexis simultaneously, Shepardizes every citation, identifies the strongest supporting and opposing precedent, cross-references your firm's prior work product on similar matters, and delivers a structured research memo in firm-standard format, all before the partner finishes their morning coffee. The partner reads it in 15 minutes, marks up two sections, and the brief gets drafted from a position of strength instead of a position of "I hope we didn't miss anything."
Each step is automated. Marcus only escalates when human judgment is required.
Marcus parses the research question, identifies the jurisdiction, area of law, and key legal issues, then constructs optimized search queries across Westlaw and LexisNexis simultaneously — Boolean, natural-language, and citation-based searches running in parallel.
Marcus evaluates relevance across hundreds of results, Shepardizes every cited case to confirm it is still good law, filters out overruled or distinguished cases, ranks results by authority weight, jurisdiction, and recency, and identifies the strongest supporting and opposing precedent.
Marcus cross-references findings against the firm's prior work product in your DMS, surfacing internal memos, briefs, and research from closed files that are directly on point. If a partner handled a nearly identical issue 18 months ago, Marcus finds that memo.
Marcus generates a structured research memorandum in firm-standard format: case summaries, key holdings, statutory references, confidence ratings, jurisdictional gaps, and a preliminary analysis of how each authority applies to the current matter. Sent to Slack for the supervising attorney with Approve / Request Deeper Analysis / Reassign.
Marcus monitors legal-database alert feeds and proactively notifies the assigned attorney when new authority could affect pending matters, open research questions, or upcoming filing deadlines — with a relevance score and a one-paragraph impact summary.
Marcus sends a daily research digest to the managing partner: matters researched today, memos delivered, pending research requests, case-law alerts triggered, and a firm-wide research utilization summary. The partner reads it in 90 seconds.
Clear boundaries. Marcus works autonomously within defined limits and escalates everything else.
Marcus connects to the platforms you already use. No new software to learn.
Marcus is deployed gradually, with measurable checkpoints at every stage.
Shadow/monitoring mode first, then a gradual rollout.
Pilot begins with a single practice group's active research requests. Marcus runs in shadow mode alongside two to three associates, comparing his output against their independent research for completeness and accuracy, with full validation before production deployment.
These AI employees share data and coordinate with Marcus to cover your full legal operation.
Start with a 90-minute discovery session. We evaluate whether Marcus is the right fit for your workflows and show you exactly what changes.